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4,243 results for “seasonality”

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Figure 3 in Seasonal breeding in three sympatric rodent species in semi-arid Tigray, northern Ethiopia

Figure 3: Stenocephalemys albipes monthly variation in (A) abundance (minimal number of animals alive, calculated per trapping session) in both grids (solid red line is grid 1, dashed blue line is grid 2), (B) proportion of breeding females (number of trapped breeding females divided by the MNA in that trap session) in both grids.

opennotspecifiedApr 2024View details →
zenodo32/100

Figure 1 in Seasonal breeding in three sympatric rodent species in semi-arid Tigray, northern Ethiopia

Figure 1: A glimpse of the sampling habitat in Adi-azab'o, located in the eastern Tigray, northern Ethiopia (photo on 13th October, 2018).(A) Represented a bushland habitat characterized by the dominant presence of Acacia ethbaica trees, where the sampling grids sited and (B) indicated some crop fields inside the enclosures.

opennotspecifiedApr 2024View details →
zenodo32/100

Figure 5 in Seasonal breeding in three sympatric rodent species in semi-arid Tigray, northern Ethiopia

Figure 5: Acomys cahirinus monthly variation in (A) abundance (minimal number of animals alive, calculated per trapping session) in both grids (solid red line is grid 1, dashed blue line is grid 2), (B) proportion of breeding females (number of trapped breeding females divided by the MNA in that trap session) in both grids.

opennotspecifiedApr 2024View details →
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Using RTE method to invert the surface temperature of Xi'an in four seasons

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
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No increase is detected and modelled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide: scripts and data to prepare figures

<p>The file contains the scripts and data to plot the graphics displayed in Joos et al., No increase is detected and modelled for the seasonal cycle amplitude of &delta;13C of atmospheric carbon dioxide, Biogeosciences, in press, November 2024.</p>

opencc-by-4.0Nov 2024View details →
dryad32/100

Data from: Seasonal variation in daily patterns of social contacts in the European badger Meles meles

Social interactions among hosts influence the persistence and spread of infectious pathogens. Daily and seasonal variation in the frequency and type of social interactions will play an important role in disease epidemiology and, alongside other factors, may have an influence on wider disease dynamics by causing seasonal forcing of infection, especially if the seasonal variation experienced by a population is considerable. We explored temporal variation in within-group contacts in a high-density population of European badgers Meles meles naturally infected with Mycobacterium bovis (the causative agent of bovine tuberculosis). Summer contacts were more likely and of longer duration during the daytime, while the frequency and duration of winter contacts did not differ between day and night. In spring and autumn, within-group contacts peaked at dawn and dusk, corresponding with when they were of shortest duration with reduced potential for aerosol transmission of pathogens. Summer and winter could be critical for transmission of M. bovis in badgers, due to the high frequency and duration of contacts during resting periods, and we discuss the links between this result and empirical disease data. This study reveals clear seasonality in daily patterns of contact frequency and duration in species living in stable social groups, suggesting that changes in social contacts could drive seasonal forcing of infection in wildlife populations even when the number of individuals interacting remains similar.

opencc-zeroDec 2016View details →
dryad32/100

Data from: Rainfall seasonality predicts the germination behaviour of a tropical dry-forest vine

Seed dormancy is considered an adaptive strategy in seasonal and/or unpredictable environments because it prevents germination during climatically favourable periods that are too short for seedling establishment. Tropical dry forests are seasonal environments where seed dormancy may play an important role in plant resilience and resistance to changing precipitation patterns. We studied the germination behaviour of seeds from six populations of the Neotropical vine Dalechampia scandens (Euphorbiaceae) originating from environments of contrasting rainfall seasonality. Seeds produced by second greenhouse-generation plants were measured and exposed to a favourable wet environment at different time intervals after capsule dehiscence and dispersal. We recorded the success and the timing of germination. All populations produced at least some dormant seeds, but seeds of populations originating from more seasonal environments required longer periods of after-ripening before germinating. Within populations, larger seeds tended to require longer after-ripening periods than did smaller seeds. These results indicate among-population genetic differences in germination behaviour and suggest that these populations are adapted to local environmental conditions. They also suggest a role of seed size in germination timing within populations. Ongoing changes in seasonality patterns in tropical dry forests may impose strong selection on these traits.

opencc-zeroDec 2018View details →
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Data from: Host and pathogen ecology drive the seasonal dynamics of a fungal disease, white-nose syndrome

Seasonal patterns in pathogen transmission can influence the impact of disease on populations and the speed of spatial spread. Increases in host contact rates or births drive seasonal epidemics in some systems, but other factors may occasionally override these influences. White-nose syndrome, caused by the emerging fungal pathogen Pseudogymnoascus destructans, is spreading across North America and threatens several bat species with extinction. We examined patterns and drivers of seasonal transmission of P. destructans by measuring infection prevalence and pathogen loads in six bat species at 30 sites across the eastern United States. Bats became transiently infected in autumn, and transmission spiked in early winter when bats began hibernating. Nearly all bats in six species became infected by late winter when infection intensity peaked. In summer, despite high contact rates and a birth pulse, most bats cleared infections and prevalence dropped to zero. These data suggest the dominant driver of seasonal transmission dynamics was a change in host physiology, specifically hibernation. Our study is the first, to the best of our knowledge, to describe the seasonality of transmission in this emerging wildlife disease. The timing of infection and fungal growth resulted in maximal population impacts, but only moderate rates of spatial spread.

opencc-zeroDec 2013View details →
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Data from: Substantial contribution of submicroscopical Plasmodium falciparum gametocyte carriage to the infectious reservoir in an area of seasonal transmission.

Background: Man to mosquito transmission of malaria depends on the presence of the sexual stage parasites, gametocytes, that often circulate at low densities. Gametocyte densities below the microscopical threshold of detection may be sufficient to infect mosquitoes but the importance of submicroscopical gametocyte carriage in different transmission settings is unknown. Methodology/Principal Findings: Membrane feeding experiments were carried out on 80 children below 14 years of age at the end of the wet season in an area of seasonal malaria transmission in Burkina Faso. Gametocytes were quantified by microscopy and by Pfs25-based quantitative nucleic acid sequence-based amplification assay (QT-NASBA). The children's infectiousness was determined by membrane feeding experiments in which a venous blood sample was offered to locally reared Anopheles mosquitoes. Gametocytes were detected in 30.0% (24/80) of the children by microscopy compared to 91.6% (65/71) by QT-NASBA (p&lt;0.001). We observed a strong association between QT-NASBA gametocyte density and infection rates (p = 0.007). Children with microscopically detectable gametocytes were more likely to be infectious (68.2% compared to 31.7% of carriers of submicroscopical gametocytes, p = 0.001), and on average infected more mosquitoes (13.2% compared to 2.3%, p&lt;0.001). However, because of the high prevalence of submicroscopical gametocyte carriage in the study population, carriers of sub-microscopical gametocytes were responsible for 24.2% of the malaria transmission in this population. Conclusions/Significance: Submicroscopical gametocyte carriage is common in an area of seasonal transmission in Burkina Faso and contributes substantially to the human infectious reservoir. Submicroscopical gametocyte carriage should therefore be considered when implementing interventions that aim to reduce malaria transmission.

opencc-zeroDec 2012View details →
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Data from: Nonnative old-field species inhabit early-season phenological niches and exhibit unique sensitivity to climate

<p>Native and nonnative plant species can exhibit differences in the timing of their reproductive phenology as well as their phenological sensitivity to climate. These contrasts may influence species' interactions and the invasion potential of nonnative species; however, a limited number of phenology studies expressly consider phenological mismatches among native and nonnative species over broad spatial or temporal scales. To fill this knowledge gap, we used two complementary approaches: first, we quantified the flowering phenology of native and nonnative plants at five old-field sites across a spatially extensive range of eastern North America. Second, we used herbarium records to compare the sensitivity of flowering and fruiting phenology to climate across a 114-year time period in a subset of common old field species in southwestern Pennsylvania. Across the study region, nonnatives reproduced substantially earlier in the growing season than natives, suggesting that nonnatives occupy a unique phenological niche (0.55 months earlier flowering across the North American study sites; 50.1 days earlier flowering and 17.5 days earlier fruiting in southwestern Pennsylvania). Both natives and nonnatives advanced their reproductive phenology between 1900 to 2014 but exhibited contrasting phenological sensitivity to climate factors. During the flowering stage of phenology, nonnatives were more sensitive to changes in precipitation than natives and generally delayed flowering in wetter years.  Nonnative plants had greater sensitivity and advanced fruiting when the month preceding fruiting was warmer while native plants had greater sensitivity and advanced fruiting when the three-month period preceding fruiting was warmer. Our findings suggest that nonnative old-field species occupy an earlier phenological niche relative to native species, which may facilitate their invasion into old-field communities. However, given the different sensitivities of native and nonnative plants to climate factors, present-day patterns of phenology are likely to shift with future climate changes, potentially leading to novel species interactions that may influence the outcomes of invasion.</p>

opencc-zeroMay 2020View details →
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Data from: Adaptation to seasonal drought in two closely related species of Neotropical Costus (Costaceae)

Seasonal drought has been shown to greatly influence the distributions and species composition of plants in tropical rainforests. By conducting a series of field, greenhouse, and growth chamber experiments, we examined how Costus villosissimus, a forest edge species, has adapted to drought and differentiated from C. allenii, its closely related species in the understory. We hypothesize that delayed seed germination and high drought tolerance may lead to habitat differentiation and thus reproductive isolation between closely related plant species in the tropics.

opencc-zeroDec 2018View details →
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Data from: Meerkat close calling patterns are linked to sex, social category, season and wind, but not fecal glucocorticoid metabolite concentrations

It is well established that animal vocalizations can encode information regarding a sender's identity, sex, age, body size, social rank and group membership. However, the association between physiological parameters, particularly stress hormone levels, and vocal behavior is still not well understood. The cooperatively breeding African meerkats (Suricata suricatta) live in family groups with despotic social hierarchies. During foraging, individuals emit close calls that help maintain group cohesion. These contact calls are acoustically distinctive and variable in rate across individuals, yet, information on which factors influence close calling behavior is missing. The aim of this study was to identify proximate factors that influence variation in call rate and acoustic structure of meerkat close calls. Specifically, we investigated whether close calling behavior is associated with sex, age and rank, or stress hormone output (i.e., measured as fecal glucocorticoid metabolite (fGCM) concentrations) as individual traits of the caller, as well as with environmental conditions (weather) and reproductive seasonality. To disentangle the effects of these factors on vocal behavior, we analyzed sound recordings and assessed fGCM concentrations in 64 wild but habituated meerkats from 9 groups during the reproductive and non-reproductive seasons. Dominant females and one-year old males called at significantly higher rates compared to other social categories during the reproductive season. Additionally, dominant females produced close calls with the lowest mean fundamental frequencies (F0) and the longest mean pulse durations. Windy conditions were associated with significantly higher call rates during the non-reproductive season. FGCM concentrations were unrelated to close calling behavior. Our findings suggest that meerkat close calling behavior conveys information regarding the sex and social category of the caller, but shows no association with fGCM concentrations. The change in call rate in response to variation in the social and ecological environments individuals experience indicates some degree of flexibility in vocal production.

opencc-zeroDec 2016View details →
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Data from: Constitutive innate immunity of tropical House Wrens varies with season and reproductive activity

In lowland Neotropical regions, where air temperature and day length remain relatively constant year-round, seasonality is determined primarily by changes in rainfall. The wet season triggers the start of breeding for many Neotropical birds, but also alters the antigenic environment, likely increasing the risk of disease transmission. We explored two hypotheses about temporal variation in constitutive innate immunity of a Neotropical bird, the House Wren (Troglodytes aedon). One hypothesis proposes that Neotropical wrens up-regulate their immune function in the wet season either in anticipation of or in response to vectors that become more prevalent. A second hypotheses proposes that during periods of putative high resource demand, such as when parents are feeding young, immune function would be compromised and downregulated. Controlling for reproductive stage, we found that microbicidal capacity of blood against Escherichia coli was higher in the wet than the dry season, consistent with the antigen response hypothesis. Phagocytosis of E.coli and Staphylococcus aureus did not differ between wet and dry seasons. Microbicidal capacity and H/L-ration of tropical House Wrens did not vary among reproductive stages, and our data offered no support for the idea that immune function is compromised during the period when parents are feeding young.

opencc-zeroDec 2018View details →
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Data from: Seasonal contrasts in individual consistency of oriental honey buzzards' migration

Individual consistency in migration can shine light on the mechanisms of migration. Most studies reported that birds are more consistent in the timing than in the routes or stopover sites during migration, but some specialist species showed the opposite patterns, being more consistent in spatial than temporal aspects of migration. One possible explanation for this contrast is that specialists rely on particular food or habitat resources, which restrict the migratory routes they can take, leading to high spatial consistency. If this is the case, the effect of specialist foraging should become apparent only when birds forage, instead of fasting and flying continuously. To test this effect, we analysed individual consistency in migration of the oriental honey buzzard (Pernis ptilorhynchus), a specialist raptor that feeds on honeybees and wasps, using a long-term tracking data set. As honey buzzards make extended stopovers during which they forage in spring but not in autumn, the spatial consistency should be higher in spring than in autumn. Honey buzzards were highly consistent in both their migratory routes and stopover sites in Southeast Asia, but only during spring migration. Our results highlight an important link between species' migratory consistency and foraging ecology.

opencc-zeroMay 2019View details →
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Data from: Characterizing and comparing the seasonality of influenza-like illnesses and invasive pneumococcal diseases using seasonal waveforms

The seasonalities of influenza-like illnesses (ILIs) and invasive pneumococcal diseases (IPDs) remain incompletely understood. Experimental evidence indicates that influenza-virus infection predisposes to pneumococcal disease, so that a correspondence in the seasonal patterns of ILIs and IPDs might exist at the population level. We developed a method to characterize seasonality by means of easily interpretable summary statistics of seasonal shape—or seasonal waveforms. Non-linear mixed-effects models were used to estimate those waveforms based on weekly case reports of ILIs and IPDs in five regions spanning continental France from July 2000 to June 2014. We found high variability of ILI seasonality, with marked fluctuations of peak amplitudes and peak times, but a more conserved epidemic duration. In contrast, IPD seasonality was best modeled by a markedly regular seasonal baseline, punctuated by two winter peaks in late December–early January and January–February. Comparing ILI and IPD seasonal waveforms, we found indication of a small, positive correlation. Direct models regressing IPDs on ILIs provided comparable results, even though they estimated moderately larger associations. The method proposed is broadly applicable to diseases with unambiguous seasonality and is well-suited to analyze spatially or temporally grouped data, which are common in epidemiology.

opencc-zeroDec 2016View details →
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Data from: Pseudomonas putida and Pseudomonas fluorescens species group recovery from human homes varies seasonally and by environment

By shedding light on variation in time as well as in space, long-term biogeographic studies can help us define organisms' distribution patterns and understand their underlying drivers. Here we examine distributions of Pseudomonas in and around 15 human homes, focusing on the P. putida and P. fluorescens species groups. We describe recovery from 10,941 samples collected during up to 8 visits per home, occurring on average 2.6 times per year. We collected a mean of 141 samples per visit, from sites in most rooms of the house, from the surrounding yards, and from human and pet occupants. We recovered Pseudomonas in 9.7% of samples, with the majority of isolates being from the P. putida and P. fluorescens species groups (approximately 62% and 23% of Pseudomonas samples recovered respectively). Although representatives of both groups were recovered from every season, every house, and every type of environment sampled, recovery was highly variable across houses and samplings. Whereas recovery of P. putida group was higher in summer and fall than in winter and spring, P. fluorescens group isolates were most often recovered in spring. P. putida group recovery from soils was substantially higher than its recovery from all other environment types, while higher P. fluorescens group recovery from soils than from other sites was much less pronounced. Both species groups were recovered from skin and upper respiratory tract samples from healthy humans and pets, although this occurred infrequently. This study indicates that even species that are able to survive under a broad range of conditions can be rare and variable in their distributions in space and in time. For such groups, determining patterns and causes of stochastic and seasonal variability may be more important for understanding the processes driving their biogeography than the identity of the types of environments in which they can be found.

opencc-zeroDec 2014View details →
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Data from: Seasonal and ontogenetic variation of skin microbial communities and relationships to natural disease dynamics in declining amphibians

Recently, microbiologists have focused on characterizing the probiotic role of skin bacteria for amphibians threatened by the fungal disease chytridiomycosis. However, the specific characteristics of microbial diversity required to maintain health or trigger disease are still not well understood in natural populations. We hypothesized that seasonal and developmental transitions affecting susceptibility to chytridiomycosis could also alter the stability of microbial assemblages. To test our hypothesis, we examined patterns of skin bacterial diversity in two species of declining amphibians (Lithobates yavapaiensis and Eleutherodactylus coqui) affected by the pathogenic fungus Batrachochytrium dendrobatidis (Bd). We focused on two important transitions that affect Bd susceptibility: ontogenetic (from juvenile to adult) shifts in E. coqui and seasonal (from summer to winter) shifts in L. yavapaiensis. We used a combination of community-fingerprinting analyses and 16S rRNA amplicon sequencing to quantify changes in bacterial diversity and assemblage composition between seasons and developmental stages, and to investigate the relationship between bacterial diversity and pathogen load. We found that winter-sampled frogs and juveniles, two states associated with increased Bd susceptibility, exhibited higher diversity compared with summer-sampled frogs and adult individuals. Our findings also revealed that hosts harbouring higher bacterial diversity carried lower Bd infections, providing support for the protective role of bacterial communities. Ongoing work to understand skin microbiome resilience after pathogen disturbance has the potential to identify key taxa involved in disease resistance.

opencc-zeroDec 2014View details →
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Figure 2 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil

Figure 2. Rose-diagram of the circular analysis and mean vector length (r), indicated by the arrow vector, of the number of anuran species exhibiting calling activity (a; r = 0.36) and frequency of the calling activity records throughout the day (b; r = 0.46). The arrow vector indicates the concentration of species exhibiting calling activities throughout the months (a) and the recording frequency of these species throughout the hours of the day (b).

opennotspecifiedFeb 2021View details →
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Figure 1 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil

Figure 1. Map of the study area. (a) The North and South America continent. (b) The Rio Grande do Sul state, Brazil. (c) The area of the TAIM Ecological Station.

opennotspecifiedFeb 2021View details →
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Figure 3 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil

Figure 3. (a) Monthly variation of the maximum (continuous line) and minimum (dashed line) water temperature (°C), minimum absolute air relative humidity (dotted line; %), and hours of rainfall from December 2012 to April 2014. (b) Monthly calling activity of the anuran amphibians community in a wetland area from southernmost Brazil from December 2012 to April 2014. The number of species that exhibited calling activities in each month is shown at the top of the graph and the following categories were used: white – no records; dotted area – between 0.1 and 3.99 hours of daily activity; horizontal bar – between 4 and 7.99 hours of daily activity; dark grey – between 8 and 11.99 hours of daily activity; black – between 12 and 17 hours of daily activity; and plus symbol – activity peak indicated by the mean vector (µ) of the circular analysis.

opennotspecifiedFeb 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

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