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Dataset results
901 results for “Modality”
Multi-modality Imaging of Ischemia With 18F-FDG PET and CTA
ClinicalTrials.gov study NCT01520025. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Carnosine levels in the same individuals as measured by different modalities
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Data from: Specificity of multi-modal aphid defenses against two rival parasitoids
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Variation in the modality of a yeast signaling pathway is mediated by a single regulator
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Data from: Cross-modal individual recognition in wild African lions
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Sister-Species Diverge in Modality-Specific Courtship Signal Form and Function
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Data from: Plant functional indicators of vegetation response to climate change, past present and future: I. Trends, emerging hypotheses and plant functional modality
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Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
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Multisensory modalities increase working memory for mating signals in a treefrog
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Data from: Foraging modality and plasticity in foraging traits determine the strength of competitive interactions among carnivorous plants, spiders, and toads
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Data from: Creating a multi-track classical music performance dataset for multi-modal music analysis: challenges, insights, and applications
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Data from: Modality interactions alter the shape of acoustic mate preference functions in gray treefrogs
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Data_Effects of input modality on vocal effector prioritization in manual-vocal dual tasks
<p>Dual-task costs in RTs and error rates compared between effector systems in vocal-manual dual-tasks using either only auditory or only visual stimuli for both responses</p>
Dataset for Event-based architecture for enabling multi-modal reasoning on loosely coupled Linked Data services
<p>Dataset with the raw UNIX timestamps for start/stop time points for each sample of each evaluated configuration as well as produced plots.</p>
Cell Volume (3D) Correlative Microscopy Facilitated by Intra-Cellular Fluorescent Nanodiamonds as Multi-Modal Probes
<p>RAW files</p>
Sex-driven modifiers of Alzheimer's risk: a multi-modality brain imaging study
<p><span><b>Objective:</b> To investigate sex differences in late-onset Alzheimer's disease (AD) risks by means of multi-modality brain biomarkers <span>[β-amyloid load via </span><sup>11</sup>C-PiB<span> PET, and neurodegeneration via </span><sup>18</sup>F-FDG <span>PET and structural MRI]</span>.</span></p> <p><span><b>Methods:</b> We examined 121 cognitively normal participants [85 women and 36 men] ages 40-65, with clinical, laboratory, neuropsychological, lifestyle exams, and MRI, FDG- and PiB-PET exams. Several clinical (e.g. age, education, APOE status, family history), medical (e.g., depression, diabetes, hyperlipidemia), hormonal (e.g. thyroid disease, menopause), and lifestyle AD risk factors (e.g., smoking, diet, exercise, intellectual activity) were assessed. Statistical parametric mapping and LASSO regressions were used to compare AD-biomarkers between men and women, and to identify the risk factors associated with sex-related differences. </span></p> <p><b><span>Results:</span></b> Groups were comparable on clinical and cognitive measures. Adjusting for each modality-specific confounders, the female group showed higher PiB <span>β-amyloid </span>deposition, lower FDG glucose metabolism, and lower MRI gray and white matter volumes compared to the male group (p<0.05, FWE-corrected for multiple comparisons). The male group did not show biomarker abnormalities compared to the female group. Results were independent of age and remained significant using age-matched groups. Second to female sex, menopausal status was the predictor most consistently and strongly associated with the observed brain biomarker differences, followed by hormone therapy, hysterectomy status, and thyroid disease.</p> <p><span><b><span>Conclusion:</span></b><span> Hormonal risk factors, in particular menopause, predict AD-endophenotype in middle-aged women. These findings suggest that the window of opportunity for AD-preventative interventions in women is early in the endocrine aging process.</span></span></p>
Data from: Sexual selection across sensory modalities: female choice of male behavioral and gustatory displays
The role of cuticular hydrocarbons in sexual displays has received considerable interest over the last two decades. For example, multiple studies have documented significant directional and nonlinear sexual selection acting on the cuticular hydrocarbon profiles of both male and female insects. The majority of these studies have excluded other sensory modalities that may influence attractiveness, and measured selection using laboratory raised individuals. Furthermore, much of this work has been conducted using drosophilid fruit flies and crickets, and investigations using different taxa are necessary to improve our understanding of broader taxonomic trends. Here we extend our understanding of sexual selection on cuticular hydrocarbons by measuring selection imposed by female mate choice on male bull-horned dung beetles, Onthophagus taurus. Both male and female beetles used in our study were collected from the field, ensuring that our estimates of selection incorporated some degree of naturally occurring variation in both cuticular hydrocarbon profiles and female mate preferences. Consistent with previous studies on this species, we found significant directional selection on male courtship displays. We also found significant nonlinear selection on the male cuticular hydrocarbon profile acting independently of the influence of behavioral courtship. Our data are consistent with a role for cuticular hydrocarbons in the mating system of this species and suggest that female O. taurus use multiple sensory modalities to assess different aspects of male quality.
Data from: Behavioural mechanisms of sexual isolation involving multiple modalities and their inheritance
Speciation research dissects the genetics and evolution of reproductive barriers between parental species. Hybrids are the 'gatekeepers' of gene flow, so it is also important to understand the behavioural mechanisms and genetics of any potential isolation from their parental species. We tested the role of multiple behavioural barriers in reproductive isolation among closely related field crickets and their hybrids (Teleogryllus oceanicus and T. commodus). These species hybridise in the laboratory, but the behaviour of hybrids is unusual and there is little evidence for gene flow in the wild. We found that heterospecific pairs exhibited reduced rates of courtship behaviour due to discrimination by both sexes, and that this behavioural isolation was symmetrical. However, hybrids were not sexually selected against and exhibited high rates of courtship behaviour even though hybrid females are sterile. Using reciprocal hybrid crosses, we characterized patterns of interspecific divergence and inheritance in key sexual traits that might underlie the mating patterns we found: calling song, courtship song and cuticular hydrocarbons (CHCs). Song traits exhibited both sex-linkage and transgressive segregation, whereas CHCs exhibited only the latter. Calculations of the strength of isolation exerted by these sexual traits suggest that close-range signals are as important as long-distance signals in contributing to interspecific sexual isolation. The surprisingly weak mating barriers observed between hybrids and parental species highlights the need to examine reproductive isolating mechanisms and their genetic bases across different potential stages of introgressive hybridisation.
Data from: Information content is more important than sensory system or physical distance in guiding the long-term evolutionary relationships between signaling modalities in Sceloporus lizards
Long-term signal evolution is shaped by a variety of selective pressures including the need to convey additional information or to improve message transfer to specific receivers or through multiple environments. Here, we test the relative importance of information and sensory modality in shaping the long-term evolution of multimodal signals in Sceloporus lizards. To broadcast identity at territorial boundaries, male Sceloporus use both visual motion (headbob) and chemical signals, whereas they use color (blue belly patches) to signal aggression. Using modern phylogenetic comparative methods, we found a negative correlation between evolutionary changes in visual motion (headbobs) and chemical (femoral pore) signals, but only indirect ties between the evolution of color and motion signals (both of which are perceived visually) through viviparity, and no evidence of an evolutionary link between color and chemical signals. We also find a negative correlation between arboreality and chemical signals. Thus, information content (in this case, broadcasting individual identity versus signaling aggression) appears to play a more important role than sensory modality or physical distance in guiding long-term signal evolution. Additional insights into the underlying evolutionary processes are described, illustrating the utility of a phylogenetic approach.
Data from: Modality-specific impairment of learning by a neonicotinoid pesticide
Neonicotinoid pesticides can impair bees' ability to learn and remember information about flowers, skills that are critical for effective foraging. Although these cognitive impacts may contribute to broader effects on health and performance, to date they have largely been assayed in simplified protocols that consider learning in a single sensory modality, usually olfaction. Given that real flowers display a variety of potentially useful signals, we assessed the effects of acute neonicotinoid exposure on multimodal learning in free-flying bumblebees. We found that neonicotinoid consumption differentially impacted learning of floral stimuli, impairing scent, but not colour, learning. These findings raise questions about the mechanisms by which pesticides might differentially impair sensory systems, with implications for how neonicotinoids affect multiple aspects of bee ecology.
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.