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4,563 results for “correlations”
Data from: Ion correlation and negative lithium transference in polyelectrolyte solutions
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Data for: Mobbing for matings: dynamics, plumage correlates, and fitness impacts of conspicuous group extra-pair behaviors in the lark bunting
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Fig. 5. Correlation between the fibers diameters and body weight from 300 in Morphological and morphometric analysis of skeletal muscle between male and female young adult Colossoma macropomum (Characiformes: Serrasalmidae)
Fig. 5. Correlation between the fibers diameters and body weight from 300 days old Colossoma macropomum. The fibers diameters are showed by class: circle (<20 µm), triangle (20 to 50 µm) and square (>50 µm).
Homonuclear Decoupling in 1H NMR of Solids by Remote Correlation
<p>Experimental and simulated data for the article ''Homonuclear Decoupling in 1H NMR of Solids by Remote Correlation'' published in Angewandte Chemie.</p> <p>Read the readme.rtf file for more information.</p> <p> </p>
Noise study data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>This dataset contains noise study data used in the paper: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation. These include raw CT scans and processed digital volume correlation data.</p> <p>This dataset is part of another dataset which covers other aspects of the paper DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3352268</a></p> <p>The structure of the dataset is as follows:</p> <ul> <li>Noise study CT raw volumes are contained in a zip file. There are four raw files corresponding to the four noise study steps. These files are 8-bit unsigned, dimensions are 1800 x 1800 x 1400 pixels. A txt file giving more details to the data is included. <ul> <li><strong>CT_Raw_data_Noise_Scans.zip</strong></li> </ul> </li> <li>Metadata files generated for each scan given details of scan parameters are found in the zip file: <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Tabulated digital volume data for the noise study scans are contained in the zip file. Tabulated data for each subset size is included in subfolders. A .txt file explains the structure of the tab separated .dat files, i.e. what each column of data represents, and what CT scan each of the four .dat files relate to. <ul> <li><strong>DVC_Noise_Study_Data.zip</strong></li> </ul> </li> </ul> <p> </p> <p> </p>
Correlations in the elastic Landau level of a graphene/NbSe2 van der Waals heterostructure
<p>Dataset and source code for the paper "Correlations in the elastic Landau level of a graphene/NbSe2 van der Waals heterostructure"</p>
Ionospheric Horizontal Correlation Length Derived From IRI-2016 Model Errors
<p>Ionospheric horizontal correlation length based on IRI-2016 model and JPL Global Ionospheric Maps. This metadata can be used for the construction of the covariance matrix for ionospheric data assimilation.</p> <p>each .nc file corresponds to one bin. </p> <p>Binning in season (winter, summer, equinox):</p> <p>00=month 1,2,11,12<br> 01=month 5,6,7,8<br> 02=month 3,4,9,10<br> <br> Binning in F10.7 solar flux (low, moderate, high):</p> <p>00=0-100 s.f.u<br> 01=100-150 s.f.u.<br> 02=150-350 s.f.u. <br> <br> Binning in UT: 2-h frames. </p> <p>Example: <br> The name of the .nc file: <br> Corr_Length_IRI_seazon_01_sf_00_UT_18.nc <br> would correspond to summer season, low solar flux, 18-20 UT. </p> <p>Inside of the .nc files:</p> <p>longitudes=array of geomagnetic longitudes (degrees)<br> latitudes=array of geomagnetic latitudes (degrees)<br> zonal_corr_length=array of size (nlon, nlat), is a map of zonal correlation lengths<br> merid_corr_length=array of size (nlon, nlat), is a map of meridional correlation lengths<br> L_4d=array of size (nlon, nlat, 4), is a map of correlation lengths in 4 perpendicular azimuthal directions; 0=0 deg, 1=90 deg, 2=180 deg, 3=-90 deg<br> L_az=array of size (nlon, nlat, 36), is a map of correlation lengths in 36 azimuthal directions (0,10,20,30,...,350 deg)<br> </p>
Cross-correlation between FWI and climate teleconnections in the Iberian Peninsula
<p>Results from the cross-correlation analysis between FWI and climate teleconnections in the Iberian Peninsula.</p>
Cross-correlation between burned area and climate teleconnections in the Iberian Peninsula
<p>Set of figures and html app showing the cross-correlation results between burned area and climate teleconnections in the Iberian Peninsula.</p>
Ionospheric Correlation Time
<p>Correlation time (or relaxation parameter) for the ionospheric data assimilation.</p> <p>each .nc file in this folder corresponds to a particular bin. </p> <p>Binning in season: </p> <p>0=month 1,2,11,12<br> 1=month 5,6,7,8<br> 2=month 3,4,9,10<br> <br> Binning in F10.7 solar flux:</p> <p>0=0-100 s.f.u<br> 1=100-200 s.f.u.<br> 2=200-350 s.f.u. </p> <p>Example: <br> The name of the .nc file: <br> Corr_Time_season_02_sf_01.nc <br> would correspond to season with bin 2, solar flux with bin 1.</p> <p>Inside of the .nc files:</p> <p>Mlons=array of geomagnetic longitudes (degrees)<br> Mlats=array of geomagnetic latitudes (degrees)<br> corr_time=array of size (nlon, nlat), is a map of correlation times (hours)</p>
Data from: Neural dysfunction correlates with heat coma and CTmax in Drosophila but does not set the boundaries for heat stress survival
<p>When heated, insects lose coordinated movement followed by the onset of heat coma (critical thermal maximum, CTmax). These traits are popular measures to quantify interspecific and intraspecific differences in insect heat tolerance, and CTmax correlates well with current species distributions of insects, including <em>Drosophila</em>. Here, we examined the function of the central nervous system (CNS) in five species of <em>Drosophila</em> with different heat tolerances, while they were exposed to either constant high temperature or a gradually increasing temperature (ramp). Tolerant species were able to preserve CNS function at higher temperatures and for longer durations than sensitive species, and similar differences were found for the behavioural indices (loss of coordination and onset of heat coma). Furthermore, the timing and temperature (constant and ramp exposure, respectively) for loss of coordination or complete coma coincided with the occurrence of spreading depolarisation (SD) events in the CNS. These SD events disrupt neurological function and silence the CNS, suggesting that CNS failure is the primary cause of impaired coordination and heat coma. Heat mortality occurs soon after heat coma in insects; to examine whether CNS failure could also be the proximal cause of heat death, we used selective heating of the head (CNS) and abdomen (visceral tissues). When comparing the temperature causing 50% mortality (LT50) of each body part versus that of the whole animal, we found that the head was not particularly heat sensitive compared with the abdomen. Accordingly, it is unlikely that nervous failure is the principal/proximate cause of heat mortality in <em>Drosophila</em>.</p>
Prevalence and correlates of overweight and obesity among adolescents in northeastern China: a cross-sectional study
<p>Abstract Objectives: To estimate the prevalence of overweight/obesity among adolescents and to evaluate the associated factors in this group in Changchun City, northeastern China.</p> <p>Methods: A cross-sectional study of 1955 adolescents aged 11–18 years was conducted in Changchun City, using stratified cluster sampling. Parents and caregivers of children completed the questionnaires as requested without objection; the questionnaire included demographic characteristics and anthropometric parameters. Univariate and multivariate logistic regression analyses were performed to analyze the relationship between overweight /obesity and related factors.</p> <p>Results: In total, the prevalence of overweight was 12.7% (male 17.4%; female 10.1%), and the prevalence of obesity was 4.9% (male 8.8%; female 3.1%) in Changchun, Jilin Province. The prevalence of overweight and obesity was higher in males than that in females (P <0.001). Multivariate logistic regression showed that overweight and obesity were significantly associated with male sex (OR=1.91, 95% CI: 1.48-2.47), eating fresh fruits more than two days per week (OR=1.41, 95% CI: 1.09-1.84), eating quickly (OR=1.37, 95% CI: 1.06-1.78). The students who were not picky (OR=0.69, 95% CI: 0.53-0.90) were less likely to be overweight. And adolescents whose father were overweight or obese (OR=0.67, 95% CI: 0.52-0.86) or mother were overweight or obese (OR=0.72, 95% CI: 0.52-0.99) were less likely to be overweight.</p> <p>Conclusion: The prevalence of overweight and obesity among adolescents in Changchun was high in recent years. The prevalence of overweight and obesity among males was higher than that among females. Sex, dietary habits (weekly frequency of fruit consumption, picky eating and slowness in eating) and parental weight were important factors for overweight and obesity in adolescents. Further research should be conducted on the health of adolescents in China and further intervention measures should be implemented to reduce the prevalence of overweight/obesity.</p>
Data from: Macro-to-nanoscale investigation of wall-plate joints in the acorn barnacle Semibalanus balanoides: correlative imaging, biological form and function, and bioinspiration
Correlative imaging combines information from multiple modalities (physical–chemical–mechanical properties) at various length scales (centimetre to nanometre) to understand the complex biological materials across dimensions (2D–3D). Here, we have used numerous coupled systems: X-ray microscopy (XRM), scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), optical light microscopy (LM) and focused ion beam (FIB-SEM) microscopy to ascertain the microstructural and crystallographic properties of the wall-plate joints in the barnacle Semibalanus balanoides. The exoskeleton is composed of six interlocking wall plates, and the interlocks between neighbouring plates (alae) allow barnacles to expand and grow while remaining sealed and structurally strong. Our results indicate that the ala contain functionally graded orientations and microstructures in their crystallography, which has implications for naturally functioning microstructures, potential natural strengthening and preferred oriented biomineralization. Elongated grains at the outer edge of the ala are oriented perpendicularly to the contact surface, and the c-axis rotates with the radius of the ala. Additionally, we identify for the first time three-dimensional nanoscale ala pore networks revealing that the pores are only visible at the tip of the ala and that pore thickening occurs on the inside (soft bodied) edge of the plates. The pore networks appear to have the same orientation as the oriented crystallography, and we deduce that the pore networks are probably organic channels and pockets, which are involved with the biomineralization process. Understanding these multiscale features contributes towards an understanding of the structural architecture in barnacles, but also their consideration for bioinspiration of human-made materials. The work demonstrates that correlative methods spanning different length scales, dimensions and modes enable the extension of the structure–property relationships in materials to form and function of organisms.
Correlated and geographically predictable Neanderthal and Denisovan legacies are difficult to reconcile with a simple model based on inter-breeding
<p>Although the presence of archaic hominin legacies in humans is taken for granted, little attention has been given as to how the data fit with how humans colonised the world. Here I show that Neanderthal and Denisovan legacies are strongly correlated and that, like heterozygosity, distance from Africa predicts legacy size. Simulations confirm that, once created, legacy size is extremely stable: it may reduce through admixture with lower legacy populations but cannot increase detectably through neutral drift. Consequently, populations carrying the highest legacies must also be those whose ancestors inter-bred most with archaics. However, the populations with the highest legacies are globally scattered and are unified, not by having origins within the known Neanderthal range, but instead by living in locations that lie furthest from Africa. Furthermore, the Simons Genome Diversity Project data reveal two very distinct correlations between Neanderthal and Denisovan legacies, one that starts in North Africa and increases west to east across Eurasia and into some parts of Oceania, and a second, much steeper trend that starts in Africa, peaking with the San and Ju/'hoansi and which, if extrapolated, predicts the large inferred legacies of both archaics found in Oceania / Australia. These trends are difficult to reconcile with classical models of how introgression occurred but may fit a speculative model in which the loss of diversity that occurred when humans moved further from Africa created a gradient in heterozygosity that in turn progressively reduced mutation rate such that populations furthest from Africa have diverged less from our common ancestor and hence from the archaics. The two distinct trends could be interpreted in terms of two 'out of Africa' events, an early one ending in Oceania and Australia and a later one that colonised Eurasia and the Americas.</p>
Data from: ApoE is a correlate of phenotypic heterogeneity in Alzheimer's disease in a national cohort
Objective: To compare the proportion of APOEε4 genotype carriers in aphasic versus amnestic variants of Alzheimer's disease (AD). Method: The proportion of APOEε4 carriers was compared among 3 groups. 1) Forty-two patients with primary progressive aphasia (PPA) and AD pathology (PPA/AD) enrolled in the Northwestern Alzheimer Disease Center Clinical Core. 2) 1,418 patients with autopsy confirmed AD and amnestic dementia of the Alzheimer-type (DAT/AD); 3) 2,608 cognitively normal controls (NC). The latter two groups were compiled from the National Alzheimer Coordinating Center (NACC) database. Logistic regression models analyzed the relationship between groups and APOEε4 carrier status, adjusting for age of onset and sex as needed. Results: Using NC as the reference and adjusting for sex and age, the DAT/AD group was 3.97 times more likely to be APOEε4 carriers. Adjusting for sex and age at symptom onset, the DAT/AD group was 2.46 times as likely to be carriers compared to PPA/AD. There was no significant difference in the proportion of APOEε4 carriers for PPA/AD compared to NC. PPA subtypes included 24 logopenic, 10 agrammatic nonfluent, and eight either mixed (n=5) or too severe (n=3) to subtype. The proportion of carriers and non carriers was similar for logopenic and agrammatic subtypes, both having fewer carriers. Conclusion: The proportion of APOEε4 carriers was elevated in amnestic but not aphasic manifestations of AD. These results suggest that APOEε4 is an anatomically selective risk factor that preferentially increases the vulnerability to AD pathology of memory-related medial temporal areas rather that language-related neocortices.
Silicon-29 NMR Experimental Datasets used in Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra
<p>Processed silicon-29 Magic-Angle Flipping and Magic-Angle Turning Nuclear Magnetic Resonance spectra used as input to the smooth-LASSO linear inversion algorithm along with their corresponding NMR tensor parameter distributions as described in the paper "Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra", by Srivastava and Grandinetti. </p> <p>Files with names containing "MAF" or "MAT" are the corresponding experimental Si-29 NMR MAF or MAT dataset on the composition given in the filename. Files with names containing "inverse" are the corresponding NMR tensor parameter distributions obtained from the inversion of the corresponding experimental MAF and MAT dataset with the composition given in the filename. </p> <p><br> </p> <p>Details of the csdf dataset format are given in <a href="https://doi.org/10.1371/journal.pone.0225953"><em>PLOS ONE,</em> 15(1): e0225953 (2020)</a>, "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package <a href="https://csdmpy.readthedocs.io/en/stable">csdmpy</a>, or other CSDM-compliant software.</p> <p> </p>
A minimal yet flexible likelihood framework to assess correlated evolution
<p>An evolutionary process is reflected in the sequence of changes through time of any trait (e.g. morphological, molecular). Yet, a better understanding of evolution would be procured by characterizing correlated evolution, or when two or more evolutionary processes interact. A wide range of parametric methods have previously been proposed to detect correlated evolution but they often require significant computing time as they rely on the estimation of many parameters. Here we propose a minimal likelihood framework modelling the joint evolution of two traits on a known phylogenetic tree. The type and strength of correlated evolution is characterized by few parameters tuning mutation rates of each trait and interdependencies between these rates. The framework can be applied to study any discrete trait or character ranging from nucleotide substitution to gain or loss of a biological function. More specifically, it can be used to 1) test for independence between two evolutionary processes, 2) identify the type of interaction between them and 3) estimate parameter values of the most likely model of interaction. In its current implementation, the method takes as input a phylogenetic tree together with mapped discrete evolutionary events on it and then maximizes the likelihood for one or several chosen scenarios. The strengths and limits of the method, as well as its relative power when compared to a few other methods, are assessed using both simulations and data from 16S rRNA sequences in a sample of 54 γ-enterobacteria. We show that even with datasets of less than 100 species, the method performs well in parameter estimation and in the selection of evolutionary scenario.</p>
data set related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis
<p>This record contains raw data related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis</p>
Data from: Species-habitat relationships and ecological correlates of butterfly abundance in a transformed tropical landscape
Tropical butterfly conservation strategies often focus on total and/or common species richness to assess the conservation value of a patch or habitat. However, such a strategy overlooks the unique dynamics of rare species. We evaluated the species-habitat relationships of 209 common, intermediate, and rare butterfly species (including morphospecies) across four habitat types (mature, degraded, or fragmented forest, and urban parks) and two patch sizes (<400 ha, ≥400 ha) in Singapore. Common species richness was consistent across habitat types. Intermediate species richness declined by more than 50 percent in urban parks (relative to all forest habitats), and rare species richness was reduced by 50 percent in degraded and fragmented forest and by 90 percent in urban parks (relative to mature forest). Large patches had comparable overall richness to small patches, but they supported more rare species and three times as many habitat-restricted species over a similar area. Importantly, a number of rare species were confined to single small patches. Mixed-effects regression models were constructed to identify habitat and ecological/life history variables associated with butterfly abundance. These models revealed that species with greater habitat specialization, rare larval host plants, few larval host plant genera, and narrow global geographic ranges were more likely to be rare species. Overall, these results demonstrate that the richness of habitat-restricted and rare species do not follow the same spatial distribution patterns as common species. Therefore, while conserving mature forests is key, effective butterfly conservation in a transformed landscape should take into account rare and habitat-restricted species.
Eye size and investment in frogs and toads correlate with adult habitat, activity pattern and breeding ecology
<p></p><p>Frogs and toads (Amphibia: Anura) display diverse ecologies and behaviours, which are often correlated with visual capacity in other vertebrates. Additionally, anurans exhibit a broad range of relative eye sizes, which have not previously been linked to ecological factors in this group. We measured relative investment in eye size and corneal size for 220 species of anurans representing all 55 currently recognized families and tested whether they were correlated with six natural history traits hypothesized to be associated with the evolution of eye size. Anuran eye size was significantly correlated with habitat, with notable decreases in eye investment among fossorial, subfossorial and aquatic species. Relative eye size was also associated with mating habitat and activity pattern. Compared to other vertebrates, anurans have relatively large eyes for their body size, indicating that vision is probably of high importance. Our study reveals the role that ecology and behaviour may have played in the evolution of anuran visual systems and highlights the usefulness of museum specimens, and importance of broad taxonomic sampling, for interpreting macroecological patterns.</p><p></p>
ScienceDex guides
Understand access before you commit
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.