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290 results for “variance”
The natural variance of Arabidopsis secondary metabolism on extended darkness-13
<p>In plants due to their sessile nature, secondary metabolites are important components against different abiotic and biotic stress, such as extended darkness. For this reason, the variation of secondary metabolite content of the Arabidopsis thaliana HapMap natural population following 0- and 6-d darkness treatment were detected and the raw data of different accessions at two timepoints were deposited in the MetaboLights database. Moreover, the annotated secondary metabolites of these samples are presented in this data descriptor, which we believe will be a usefully re-usable resource for future integrative analysis with dark-treated transcripts, proteins or other phenotypic data in order to comprehensively illustrate the multiomic landscape of Arabidopsis in response to the stresses exerted by extended darkness.</p>
The natural variance of Arabidopsis secondary metabolism on extended darkness-1
<p>In plants due to their sessile nature, secondary metabolites are important components against different abiotic and biotic stress, such as extended darkness. For this reason, the variation of secondary metabolite content of the Arabidopsis thaliana HapMap natural population following 0- and 6-d darkness treatment were detected and the raw data of different accessions at two timepoints were deposited in the MetaboLights database. Moreover, the annotated secondary metabolites of these samples are presented in this data descriptor, which we believe will be a usefully re-usable resource for future integrative analysis with dark-treated transcripts, proteins or other phenotypic data in order to comprehensively illustrate the multiomic landscape of Arabidopsis in response to the stresses exerted by extended darkness.</p>
Mean and variance of spike counts for area MT neurons in awake and anesthetized subjects
<p>These data are the means and variance of spike counts in an analysis window beginning at motion onset of the visual stimulus, within the receptive field of MT neurons recorded in anesthetized or alert non-human primates. Dot motion was presented in a range of motion directions, with 0 degrees being the preferred direction of each cell. The tuning of the variability in the response and a model accounting for these state-dependent changes is in press at PLoS Computational Biology, along with more details on the data collection and analysis. A preprint is available at: https://arxiv.org/abs/1710.10548</p> <p>These data consist of a MatLab data file with two saved data structures, ‘units’ and ‘autocorrelation’. <br> <br> ‘units’ is an 80-element structure, one entry for each recorded extracellular single unit (putative neuron) in the recording with the following fields:<br> ‘state’ indicates whether the subject was anesthetized or alert during the recording<br> ‘stimDir’ is the direction of motion, in degrees, of the moving dot stimulus<br> ‘latency’ is the latency, in milliseconds, to the response onset<br> ‘latAlign’ are the spike counts and variance in a 150ms window beginning at response onset<br> ‘stimAligned’ are the spike counts and variance in a 250ms window beginning at motion onset<br> ‘MI’ is the mutual information between motion directions between +/- 90 degrees and the cumulative spike counts at a range of time points since motion onset, given in MI_time_vec. The mutual information quantity is extrapolated to the infinite data size limit via quadratic extrapolation.<br> 'MI_time_vec' is a vector of times (in milliseconds) since motion onset used in the information calculation</p> <p><br> ‘autocorrelation’ is a scalar structure containing the fields:<br> 'alert' is the average autocorrelation (range +/- 1) of the spike counts (analyzed in a 2ms window and smoothed over 5 bins) in the alert units during presentation of the null (no dot motion) stimulus<br> 'anesthetized' is the average autocorrelation (computed as for the alert units) of the anesthetized units during presentation of the null stimulus<br> 'timePoints' are the time point shifts in milliseconds corresponding to the calculated autocorrelations in 'alert' and 'anesthetized'</p>
zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation
<p>Data and code used to generate the analyses and figures in paper "zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation" are provided here.</p>
Data from: The genetic variance but not the genetic covariance of life-history traits changes towards the north in a time-constrained insect
Seasonal time constraints are usually stronger at higher than lower latitudes and can exert strong selection on life history traits and the correlations among these traits. To predict the response of life history traits to environmental change along a latitudinal gradient, information must be obtained about genetic variance in traits and also genetic correlation between traits, i.e., the genetic variance-covariance matrix, G. Here, we estimated G for key life history traits in an obligate univoltine damselfly that faces seasonal time constraints. We exposed populations to simulated native temperatures and photoperiods and common garden environmental conditions in a laboratory setup. Despite differences in genetic variance in these traits between populations (lower variance at northern latitudes), there was no evidence for latitude-specific covariance of the life history traits. At simulated native conditions, all populations showed strong genetic and phenotypic correlations between traits that shaped growth and development. The variance-covariance matrix changed considerably when populations were exposed to common garden conditions compared with the simulated natural conditions, showing the importance of environmentally induced changes in multivariate genetic structure. Our results highlight the importance of estimating variance-covariance matrixes in environments that mimic selection pressures and not only trait variances or mean trait values in common garden conditions for understanding the trait evolution across populations and environments.
Data from: Differences in distress: variance and production of American crocodile (Crocodylus acutus) distress calls in Belize
Acoustic communication of American Crocodiles (Crocodylus acutus) is relatively understudied. Our overall aim was to determine the acoustic structure of wild American Crocodile distress calls, distinguish call differences among size classes (hatchling, juvenile, sub-adult, and adult), and investigate call production on a gradient of human disturbance. American Crocodile distress calls have strong frequency modulation and are comprised of multiple harmonics in a downsweeping pattern. Measured parameters (total duration, first quartile duration, maximal frequency, first quartile frequency, end frequency, slope of first quartile, slope of last quartiles) differed significantly among size classes (P < 0.05). Hatchling distress calls are higher in frequency and strongly modulated, whereas calls produced by sub-adults and adults showed little modulation, are lower in frequency, and have greater overall duration. Proportion of crocodiles that produced distress calls during capture differed by size class and sampling location, particularly adult distress calls which are reported here to be produced with undocumented frequency. We determined that American Crocodiles of all size classes produce distress calls at varying rates among study sites. Our results demonstrate that American crocodiles produce distress call more frequently at sites with higher anthropogenic activity. Measured call parameters of juveniles and hatchling American crocodiles also varied among sites in relation to human disturbance. Calls recorded at sites of high anthropogenic impact have increased duration and less modulation which may adversely affect response to emitted distress calls. Proportional and call parameter variances suggest anthropogenic activity as a driver for increased call production and alteration of call parameters at high human-impacted sites.
Sex-specific genetic (co)variances of standard metabolic rate, body mass and locomotor activity in Drosophila melanogaster
<p>A longstanding focus in evolutionary physiology concerns the causes and consequences of variation in maintenance metabolism. Insight into this can be gained by estimating the sex-specific genetic architecture of maintenance metabolism alongside other, potentially correlated traits on which selection may also act, such as body mass and locomotor activity. This may reveal potential genetic constraints affecting the evolution of maintenance metabolism. Here, we used a half-sibling breeding design to quantify the sex-specific patterns of genetic (co)variance in standard metabolic rate (SMR), body mass, and daily locomotor activity in <i>Drosophila melanogaster</i>. There was detectable additive genetic variance for all traits in both sexes. As expected, SMR and body mass were strongly and positively correlated, with genetic allometry exponents (<i>b</i><sub>A</sub>±se) of 0.66±0.16 in females and 0.58±0.32 in males. There was a significant and positive genetic correlation between SMR and locomotor activity in males, suggesting that alleles that increase locomotion have pleiotropic effects on SMR. Sexual differences in the genetic architecture were driven in large part by a difference in genetic variance in locomotor activity between the sexes. Overall, genetic variation was mostly shared between males and females, setting the stage for a potential intralocus sexual conflict in the face of sexually antagonistic selection.</p>
Data from: Colour ornamentation in the blue tit: quantitative genetic (co)variances across sexes
Although secondary sexual traits are commonly more developed in males than females, in many animal species females also display elaborate ornaments or weaponry. Indirect selection on correlated traits in males and/or direct sexual or social selection in females are hypothesized to drive the evolution and maintenance of female ornaments. Yet, the relative roles of these evolutionary processes remain unidentified, because little is known about the genetic correlation that might exist between the ornaments of both sexes, and few estimates of sex-specific autosomal or sex-linked genetic variances are available. In this study, we used two wild blue tit populations with 9 years of measurements on two colour ornaments: one structurally based (blue crown) and one carotenoid based (yellow chest). We found significant autosomal heritability for the chromatic part of the structurally based colouration in both sexes, whereas carotenoid chroma was heritable only in males, and the achromatic part of both colour patches was mostly non heritable. Power limitations, which are probably common among most data sets collected so far in wild populations, prevented estimation of sex-linked genetic variance. Bivariate analyses revealed very strong cross-sex genetic correlations in all heritable traits, although the strength of these correlations was not related to the level of sexual dimorphism. In total, our results suggest that males and females share a majority of their genetic variation underlying colour ornamentation, and hence the evolution of these sex-specific traits may depend greatly on correlated responses to selection in the opposite sex.
CRM Variance Transport validation in E3SM-MMF - analysis code and condensed data
<p>This tarball contains a collection of code and data used to performa a detailed analysis of the CRM variance transport feature added to E3SM-MMF. The data subset is condensed from the model output and observational datasets, so the ability to reproduce results directly is limited, but this archive mainly serves to document the methods used for our analysis. </p>
Table 7. Results of calculation of epithelialization time statistics one-way analysis of variance (ANOVA) with SPSS 23.00
<p>Table 7. Results of calculation of epithelialization time statistics one-way analysis of variance (ANOVA) with SPSS 23.00</p>
Genetic & Environmental Determinants Of Immune Phenotype Variance: A Longitudinal Assessment
ClinicalTrials.gov study NCT05381857. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Aqueous Humor Dynamic Components That Determine Intraocular Pressure Variance
ClinicalTrials.gov study NCT04412096. IPD Sharing: NO. Countries: 1. Publications: 2.
Digital Variance Angiography for Contrast Media Dose Reduction in Carotid Artery Stenting
ClinicalTrials.gov study NCT04792255. IPD Sharing: NO. Countries: 1. Publications: 4.
Variance of Oral Methadone Dosage: Description of Implicated Factors
ClinicalTrials.gov study NCT00894452. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Digital Variance Angiography in Diagnostic Angiographies for Effective Radiation Dose Reduction
ClinicalTrials.gov study NCT04343196. IPD Sharing: NO. Countries: 1. Publications: 2.
Genetic & Environmental Determinants Of Immune Phenotype Variance: Establishing A Path Towards Personalized Medicine
ClinicalTrials.gov study NCT01699893. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Effect of Variance on Error Correction During Coupling
ClinicalTrials.gov study NCT04856384. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Genetic basis of between-individual and within-individual variance of docility
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Data from: Variance in reproductive success is driven by environmental factors not mating system in Bonytail
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Data from: The genetic variance but not the genetic covariance of life-history traits changes towards the north in a time-constrained insect
Open the record for dataset details and reuse information.
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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.