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39 results for “contrast adaptation”

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zenodo32/100

Data from Climate adaptability in hydrological models: variable storage capacity to improve performance under contrasting climates.

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

Data from: Genetic variation at innate and adaptive immune genes - contrasting patterns of differentiation and local adaptation in a wild gull

<p>Immunogenetic variation in natural vertebrate populations is expected to respond to spatial and temporal fluctuations in pathogen assemblages. While spatial heterogeneity in pathogen-driven selection enhances local immunogenetic adaptations and population divergence, different immune genes may yield contrasting responses to the environment. Here, we investigated population differentiation at the key pathogen recognition genes of the innate and adaptive immune system in a colonial bird species, the black headed gull <em>Chroicocephalus ridibundus</em>. We assessed genetic variation at three toll-like receptor (TLR) genes (innate immunity) and the major histocompatibility complex (MHC) class I and II genes (adaptive immunity) in gulls from seven colonies scattered across Poland. As expected, we found much greater polymorphism at the MHC than TLRs. Population differentiation at the MHC class II, but not MHC-I, was significantly stronger than at neutral microsatellite loci, suggesting local adaptation. This could reflect spatial variation in the composition of extra-cellular parasite communities (e.g. helminths), possibly driven by sharp differences in habitat structure between colonies. Despite contrasting patterns of population differentiation, both MHC classes showed similar regimes of diversifying selection. Some significant population differentiation was also observed at TLRs, suggesting that innate immune receptors may respond to fine-scale spatial variation in pathogen pressure, although this pattern could have been enhanced by drift. Our results suggested that local adaptation at the pathogen recognition immune genes can be maintained at relatively small or moderate spatial scales in species with high dispersal potential and highlighted the complexity of immunogenetic responses of animals to heterogeneous environments.</p>

opencc-zeroJul 2023View details →
dryad32/100

Data from: Genetic variation at innate and adaptive immune genes - contrasting patterns of differentiation and local adaptation in a wild gull

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publicJul 2023View details →
dryad32/100

Data from: Iterative development and the scope for plasticity: contrasts among trait categories in an adaptive radiation

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publicJun 2015View details →
dryad32/100

Data from: Latitudinal divergence in a wide-spread amphibian: contrasting patterns of neutral and adaptive genomic variation

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publicMay 2019View details →
dryad32/100

Data from: Parental environmental effects due to contrasting watering adapt competitive ability, but not drought tolerance, in offspring of a semi-arid annual Brassicaceae

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publicApr 2016View details →
dryad32/100

Contrasting biomass allocation responses across ontogeny and stress gradients reveal plant adaptations to drought and cold

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publicSep 2020View details →
dryad32/100

Data from: Drivers of neutral and adaptive differentiation in pike (Esox lucius) populations from contrasting environments

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publicNov 2021View details →
dryad28/100

Data from: Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina

When visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as well as their temporal filtering characteristics. The latter has classically been described by contrast-induced gain changes that depend on temporal frequency. Here, we explored a new perspective on contrast-induced changes in temporal filtering by using spike-triggered covariance analysis to extract multiple parallel temporal filters for individual ganglion cells. Based on multielectrode-array recordings from ganglion cells in the isolated salamander retina, we found that contrast adaptation of temporal filtering can largely be captured by contrast-invariant sets of filters with contrast-dependent weights. Moreover, differences among the ganglion cells in the filter sets and their contrast-dependent contributions allowed us to phenomenologically distinguish three types of filter changes. The first type is characterized by newly emerging features at higher contrast, which can be reproduced by computational models that contain response-triggered gain-control mechanisms. The second type follows from stronger adaptation in the Off pathway as compared to the On pathway in On-Off-type ganglion cells. Finally, we found that, in a subset of neurons, contrast-induced filter changes are governed by particularly strong spike-timing dynamics, in particular by pronounced stimulus-dependent latency shifts that can be observed in these cells. Together, our results show that the contrast dependence of temporal filtering in retinal ganglion cells has a multifaceted phenomenology and that a multi-filter analysis can provide a useful basis for capturing the underlying signal-processing dynamics.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Adaptive strategies in nocturnally migrating insects and songbirds: contrasting responses to wind

1. Animals that use flight as their mode of transportation must cope with the fact that their migration and orientation performance is strongly affected by the flow of the medium they are moving in, i.e. by the winds. Different strategies can be used to mitigate the negative effects and benefit from the positive effects of a moving flow. The strategies an animal can use will be constrained by the relationship between the speed of the flow and the speed of the animal's own propulsion in relation to the surrounding air. 2. Here we analyse entomological and ornithological radar data from north-western Europe to investigate how two different nocturnal migrant taxa, the noctuid moth Autographa gamma and songbirds, deal with wind by analysing variation in resulting flight directions in relation to the wind-dependent angle between the animal's heading and track direction. 3. Our results, from fixed locations along the migratory journey, reveal different global strategies used by moths and songbirds during their migratory journeys. As expected, nocturnally migrating moths experienced a greater degree of wind drift than nocturnally migrating songbirds, but both groups were more affected by wind in autumn than in spring. 4. The songbirds' strategies involve elements of both drift and compensation, providing some benefits from wind in combination with destination and time control. In contrast, moths expose themselves to a significantly higher degree of drift in order to obtain strong wind assistance, surpassing the songbirds in mean ground speed, at the cost of a comparatively lower spatiotemporal migratory precision. 5. Moths and songbirds show contrasting but adaptive responses to migrating through a moving flow, which are fine-tuned to the respective flight capabilities of each group in relation to the wind currents they travel within.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Local adaptation at higher trophic levels: contrasting hyperparasite-pathogen infection dynamics in the field and laboratory

Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Coevolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology, however studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated if this interaction varies across combinations of pathogen-hyperparasite strains, and if this influences hyperparasite incidence in natural pathogen populations. Here, we test if the association between a hyperparasitic fungus, Ampelomyces quisqualis, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype x genotype interactions, and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Contrasting effects of ectomycorrhizal and arbuscular mycorrhizal tropical tree species on soil nitrogen cycling: the potential mechanisms and corresponding adaptive strategies

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publicOct 2017View details →
dryad28/100

Data from: Adaptive strategies in nocturnally migrating insects and songbirds: contrasting responses to wind

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publicJun 2016View details →
dryad28/100

Data from: Local adaptation at higher trophic levels: contrasting hyperparasite-pathogen infection dynamics in the field and laboratory

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publicNov 2016View details →
dryad28/100

Data from: Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina

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publicJun 2016View details →
geo24/100

Contrasting genes conferring short and long-term biofilm adaptation in Listeria

GEO Series GSE235979. Listeria monocytogenes. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
ClinicalTrials.gov24/100

VOLtage-based Contrast Media AdaptatioN in Coronary Computed Tomography Angiography

ClinicalTrials.gov study NCT03179592. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo20/100

Root adaptive responses to aluminum-toxicity revealed by RNA-Seq in two citrus species with contrasting aluminum tolerance

GEO Series GSE85958. Citrus maxima; Citrus sinensis. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2016View details →
geo16/100

Leaf adaptive responses to aluminum-toxicity revealed by RNA-Seq in two citrus species with contrasting aluminum tolerance

GEO Series GSE108837. Citrus maxima; Citrus sinensis. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2018View details →

ScienceDex guides

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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