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245 results for “seasonal pattern”
Fig. 38 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Fig. 38. Corrected number of observations per two-month period for Porcellionides pruinosus (N = 58).
Fig. 4 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 4. Values of trophic niche breadth (mean±standard error) of fish species in each spatial- temporal units in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4- 0.6) or high (0.61-1) (modified of Grossman, 1986).
Fig. 2 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 2. Relative water levels in the study area, Cuiabá River and Chacororé Lake, State of Mato Grosso, Brazil, from March 2000 to February 2001, showing the rainy and dry seasons. The data were provided by the Agência Nacional de Águas (ANA).
Fig. 3 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 3. Relative frequency of the trophic niche breadth (B) a intervals of fish species in each spatial-temporal unit in the Cuiabá River basin, Mato Grosso State, Brazil. PF= Pond Flood; PD= Pond Drought; RF= River Flood; RD= River Drought. Trophic niche breadth was considered low (0-0.39), intermediate (0.4-0.6) or high (0.61-1) (modified of Grossman, 1986).
Fig. 2 in Spatial pattern of a fish assemblage in a seasonal tropical wetland: effects of habitat, herbaceous plant biomass, water depth, and distance from species sources
Fig. 2. Distribution of the relative abundance of the 49 species of fish captured in the 22 plots in Site of Long-Term Sampling (SLTS), related to the depth at each of the collection plots.
Data from: Faster migration in autumn than in spring: seasonal migration patterns and non-breeding distribution of Icelandic Whimbrels Numenius phaeopus islandicus
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Regional wind patterns likely shape a seasonal migration detour
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Seasonal elevational patterns and the underlying mechanisms of avian diversity and community structure on the eastern slope of Mt. Gongga
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Data from: Using plant functional traits and phylogenies to understand patterns of plant community assembly in a seasonal tropical forest in Lao PDR
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Primary data on skull and brain morphology for: Geographical patterns in seasonal changes of body mass, skull, and brain size of common shrews
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Heat dissipation behaviour of birds in seasonally hot, arid-zones: are there global patterns?
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Data from: Comparing diel activity patterns of wildlife across latitudes and seasons: time transformations using day length
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Patterns of annual and seasonal immune investment in a temporal reproductive opportunist
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De novo transcriptome analysis profiles gene expression underlying seasonal polyphenism in butterfly wing patterns
GEO Series GSE54819. Junonia coenia. 20 samples. Type: Expression profiling by high throughput sequencing.
Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons [Data set]
<p>The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes on ecosystem and plant community level, and ancilliary meteorological and environmental data, measured at Kaamanen fen in Northern Finland (N69°8.435', E27°16.189', 155 m a.s.l.), during 2017 - 2018. Additionally, the data set contains soil data from the fen, forest and lake ecosystems in the catchment, measured by Juha Mikola.</p> <p>C_fluxes_Heiskanen_et_al.csv includes ecosystem scale quality screened, u* filtered and gap-filled eddy covariance flux data and plant community scale flux data modelled from manual flux chamber measurements.</p> <p>environmental_data1_Heiskanen_et_al.csv and environmental_data2_Heiskanen_et_al.csv include ancillary meteorological and environmental data.</p> <p>LAI_data_2017_Heiskanen_et_al.csv and LAI_data_2018_Heiskanen_et_al.csv include leaf area index data.</p> <p>UEF_data_with_LCTs.xlsx includes soil data from peatlands, mineral soils and lake sediments, by Juha Mikola.</p>
Data from: Persistent chaos of measles epidemics in the prevaccination United States caused by a small change in seasonal transmission patterns
Epidemics of infectious diseases often occur in predictable limit cycles. Theory suggests these cycles can be disrupted by high amplitude seasonal fluctuations in transmission rates, resulting in deterministic chaos. However, persistent deterministic chaos has never been observed, in part because sufficiently large oscillations in transmission rates are uncommon. Where they do occur, the resulting deep epidemic troughs break the chain of transmission, leading to epidemic extinction, even in large cities. Here we demonstrate a new path to locally persistent chaotic epidemics via subtle shifts in seasonal patterns of transmission, rather than through high-amplitude fluctuations in transmission rates. We base our analysis on a comparison of measles incidence in 80 major cities in the prevaccination era United States and United Kingdom. Unlike the regular limit cycles seen in the UK, measles cycles in US cities consistently exhibit spontaneous shifts in epidemic periodicity resulting in chaotic patterns. We show that these patterns were driven by small systematic differences between countries in the duration of the summer period of low transmission. This example demonstrates empirically that small perturbations in disease transmission patterns can fundamentally alter the regularity and spatiotemporal coherence of epidemics.
Data from: Seasonal patterns in species diversity across biomes
A conspicuous Season-Diversity Relationship (SDR) can be seen in seasonal environments, often with a defined peak in active species diversity in the growing season. We ask is this a general pattern and are other patterns are possible? In addition, we ask what is the ultimate cause of this pattern and can we understand it using existing ecological theory? To accomplish this task, we assembled a global database on changes in species diversity through time in seasonal environments for different taxa and habitats and also conducted a modeling study in an attempt to replicate observed patterns. Our global database includes terrestrial and aquatic habitats, temperate, tropical, and polar environments, and taxa from disparate groups including vertebrates, insects, and plankton. We constructed nine alternative models that vary in assumptions on type of seasonal forcing, responses to that forcing, species niches, and types of species interactions. We found that most guilds of species exhibit a repeatable Season-Diversity Relationship (SDR) across years. For north temperate ecosystems, active species diversity generally peaks mid-year. The peak for a guild is generally more pronounced in terrestrial habitats than aquatic habitats and more pronounced in temperate and polar regions than the tropics. We now have evidence that at least several different habitat and taxa types are likely to have multiple peaks in diversity in a year, for example guilds of both aquatic microbes and desert vertebrates can show a bimodal or multimodal SDR. We compared all nine candidate models in their ability to explain the patterns and match their assumptions to the data. Some performed considerably better than others in being able to match the different patterns. We conclude that a model that includes both temperature niches and environmental feedbacks is necessary to explain the different season-diversity relationships. We use such a model to make predictions on how the SDR could be impacted by climate change. More effort should be put into documenting and understanding baseline seasonal patterns in diversity in order to predict future responses to global change.
Metabarcoding reveals seasonal and spatial patterns of arthropod community assemblages in two contrasting habitats
<p>Illumina reads, representing partial COI barcode. </p> <p>Quality filtered FLS and SLS reads:<br> Samples from oasis<br> FLS reads <br> 150615_I270_FCC7K1NACXX_L4_RSZAKPI005096-37_1.fq.gz<br> 150615_I270_FCC7K1NACXX_L4_RSZAKPI005096-37_2.fq.gz<br> SLS reads<br> 150615_I270_FCC7K1NACXX_L4_RSZAXPI005095-40_1.fq.gz<br> 150615_I270_FCC7K1NACXX_L4_RSZAXPI005095-40_2.fq.gz</p> <p>Samples from desert:<br> FLS reads<br> 150615_I270_FCC7K1NACXX_L4_RSZAKPI005098-39_1.fq.gz<br> 150615_I270_FCC7K1NACXX_L4_RSZAKPI005098-39_2.fq.gz<br> SLS reads<br> 150615_I270_FCC7K1NACXX_L4_RSZAXPI005097-41_1.fq.gz<br> 150615_I270_FCC7K1NACXX_L4_RSZAXPI005097-41_2.fq.gz</p>
Figure 2 in Haematopoiesis in the European common toad Bufo bufo (Linnaeus, 1758): new methodological insights to study general, seasonal, and sexual haematopoietic distribution and maturation pattern
Figure 2. Liver of adult Bufo bufo (A- section II, B- section I).
Map 6 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium
Map 6. Distribution map for Haplophthalmus mengii.
ScienceDex guides
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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.