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4,563 results for “correlations”
Amphiphilic Cyclic Antimicrobial Peptides Derived from the [W4R4] Scaffold: Structural Studies and Correlation with Activity
<p>Data for Publication “Amphiphilic Cyclic Antimicrobial Peptides Derived from the [W4R4] Scaffold: Structural Studies and Correlation with Activity.” The file archive "<em>WR_peptides_MD.zip</em>" contains the starting structures of peptides, molecular topologies of peptides, representative MD trajectories of peptides in water and the DOPC/DOPG bilayer, as well as MD simulation parameters. See the README.txt file in this archive for details.</p>
IODP Expedition 382 Stratigraphic Correlation
<p>Affine and splice files created for stratigraphic correlation.</p>
Dataset: Capturing dynamical correlations using implicit neural representations
<p>Dataset of Linear Spin Wave Theory simulations accompanying the manuscript: Capturing dynamical correlations using implicit neural representations. </p>
The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves
<p>Aims: The nanohertz gravitational wave background (GWB) is expected to be an aggregate signal of an ensemble of gravitational waves emitted predominantly by a large population of coalescing supermassive black hole binaries in the centres of merging galaxies. Pulsar tiNanohertz ming arrays (PTAs), which are ensembles of extremely stable pulsars at approximately kiloparsec distances precisely monitored for decades, are the most precise experiments capable of detecting this background. However, the subtle imprints that the GWB induces on pulsar timing data are obscured by many sources of noise that occur on various timescales. These must be carefully modelled and mitigated to increase the sensitivity to the background signal. Methods: In this paper, we present a novel technique to estimate the optimal number of frequency coefficients for modelling achromatic and chromatic noise, while selecting the preferred set of noise models to use for each pulsar. We also incorporated a new model to fit for scattering variations in the Bayesian pulsar timing package temponest. These customised noise models enable a more robust characterisation of single-pulsar noise. We developed a software package based on tempo2 to create realistic simulations of European Pulsar Timing Array (EPTA) datasets that allowed us to test the efficacy of our noise modelling algorithms. Results: Using these techniques, we present an in-depth analysis of the noise properties of 25 millisecond pulsars (MSPs) that form the second data release (DR2) of the EPTA and investigate the effect of incorporating low-frequency data from the Indian Pulsar Timing Array collaboration for a common sample of ten MSPs. We used two packages, enterprise and temponest, to estimate our noise models and compare them with those reported using EPTA DR1. We find that, while in some pulsars we can successfully disentangle chromatic from achromatic noise owing to the wider frequency coverage in DR2, in others the noise models evolve in a much more complicated way. We also find evidence of long-term scattering variations in PSR J1600-3053. Through our simulations, we identify intrinsic biases in our current noise analysis techniques and discuss their effect on GWB searches. The analysis and results discussed in this article directly help to improve the sensitivity to the GWB signal and they are already being used as part of global PTA efforts.</p>
IODP Expedition 392 Stratigraphic Correlation
<p>Affine and splice files created for stratigraphic correlation.</p>
Synthetic control of correlated disorder in UiO-66 frameworks
<p>Raw data associated to the Figures 2, 3, 4, 5 and 7 in the main text.</p>
Data for the paper: Drag, lift and torque correlations for axi-symmetric rod-like non-spherical particles in locally linear shear flows
<p>These are the data files for the paper:</p> <p>Drag, lift and torque correlations for axi-symmetric rod-like non-spherical particles in locally linear shear flows</p> <p>authored by: Victor Chéron, Fabien Evrard, and Berend van Wachem</p> <p>#Files<br> Temporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.<br> Python scripts used to derive the correlations are stored in the folder PythonScripts.<br> Results of an example simulation are provided in the folder SimulationResults.<br> A Python script with the final correlations of the manuscript is also included.</p> <p>#ResultsCoefficients<br> The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file<br> The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:<br> ### Uniform-Torque-Angles-Size2-5.txt<br> The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:<br> ### Shear02-Lift-Angles-Size10.txt<br> In these files, the results are ordered per orientation angle and particle Reynolds number.</p> <p>#PythonScripts<br> The python scripts for processing the data are split among three main functions in two files:<br> - Getter.py (reads the .txt files storing the coefficients - separate functions for the drag, lift and torque coefficients - as well as fill up the missing points for spherical particles using the Kurose and Komori correlations)<br> - generalmain (calls the Getter.py function). The Getter.py is called from the generalmain.py file. (run python3<br> generalmain.py). This will return a 1D column vector ordering the variables used to derive the correlations:<br> - Coefficients<br> - Reynolds number<br> - Orientation Angle<br> - Shear rate<br> - Aspect ratio<br> - Additional coefficients.</p> <p>The Python script ManuscriptCorrelations.py has the correlations as derived in the manuscript. This routine can be used to query the correlations, for plotting them or using them in a simulation.</p> <p><br> #SimulationResults<br> Simulation results of one case are provided:<br> - Aspect ratio 2.5, particle Reynolds number 200, orientation angle 90, Shear rate 0.2<br> The fields and particles information are stored in hdf5 file format.<br> A .xmf wrapper file is provided to read the simulation results in paraview.<br> Data up to 40 seconds of real time are provided due to storage limits.</p> <p><br> This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913.</p>
Data from: Lizard richness in mainland China is more strongly correlated with energy and climatic stability than with diversification rates
<p><strong><span>Aim</span></strong><span>: Contemporary environmental, historical, and evolutionary factors are increasingly used to decipher the drivers of spatial patterns of species richness. Evidence of such correlations for Chinese reptiles is scarce and poorly understood. We therefore explored the validity of the environmental capacity, historical climatic stability, and diversification rates hypotheses on Chinese lizard richness.</span></p> <p><span><strong>Location</strong>:</span><span> Mainland China</span></p> <p><span><strong>Taxon</strong>:</span><span> Squamata: Sauria</span></p> <p><strong><span>Methods</span></strong><span>: We mapped the distribution ranges of all 237 lizards in mainland China using a combination of different datasets. We used current environmental conditions (ambient energy, environmental productivity, and habitat heterogeneity), historical climate stability indices (long-term: since ~3.3 Ma and short-term: since the Last Glacial Maximum), and mean tip diversification rates to test whether current environmental conditions, historical climate change, and diversification rates drive contemporary richness patterns of lizards in China. We applied piecewise structural equation models (pSEM) to jointly evaluate our hypotheses, considering direct and indirect effects.</span></p> <p><strong><span>Results</span></strong><span>: Chinese lizards showed latitudinal diversity gradients. We found consistent support for contemporary climatic and environmental factors' relationships with richness. Richness was also positively correlated with short-term climatic stability, but less so with long-term stability. Diversification rates were only seldom found to be positively correlated with lizard richness.</span></p> <p><span><strong>Main conclusions</strong>:</span><span> Our results support the</span> <span>environmental capacity and historical climate hypotheses, which link high richness to highly productive warm and stable regions (and low richness to cold and unstable regions). We conclude that post-speciation dispersal and short-term climatic oscillations quickly swamp the long-term signal of diversification rates and climatic fluctuations, creating strong current climate-richness associations.</span></p>
Data from: In situ correlation between microplastic and suspended particulate matter concentrations in river-estuary systems support proxies for satellite-derived estimates of microplastic flux
<p>Data from Sullivan et al., (in press) In situ correlation between microplastic and suspended particulate matter concentrations in river-estuary systems support proxies for satellite-derived estimates of microplastic flux, <em>Marine Pollution Bulletin. </em></p> <p>It contains the summary of the in situ measurements of TSM and microplastic counts and concentrations for each site. For more detail on the methods, users are directed to the methods section 2.2 of the open access paper. </p>
Enhanced design of multiplexed coded masks for Fresnel incoherent correlation holography
<p>Original Dataset of figures of the published article Enhanced design of multiplexed coded masks for Fresnel incoherent correlation holography in <a href="https://www.nature.com/srep"><em>Scientific Reports</em></a> <strong>volume 13</strong>, Article number: 7390 (2023).</p> <p>https://doi.org/10.1038/s41598-023-34492-2</p>
Data from: Divergence in the internal genital morphology of females is correlated with divergence in male intromittent structures among populations of a millipede
<p>Our understanding of genital evolution comes largely from studies of male genitalia. Females have received far less attention because of the difficulties inherent in quantifying the shapes of their internal genital structures. Here we combine advances in micro-computed tomography with a new landmark free method of quantifying three-dimensional trait shape, to document patterns of divergence in female genital shape, and the correlated divergence of male genitalia among populations of the millipede Antichiropus variabilis. We used single nucleotide polymorphisms to estimate levels of neutral genetic divergence among seven populations of millipede. Genetic divergence was high and correlated with geographic distance. Comparing phenotypic divergence in genital shape to neutral genetic divergence, we found that genital shape for both females and males has diverged more than would be expected from random drift, consistent with a pattern of directional selection. While there was significant covariation between female and male genital shape across populations, the magnitude of divergence in genital shape between the sexes was not correlated. Our results demonstrate the utility of using three-dimensional scanning technologies to examine female genital traits and add to a small but growing number of studies showing that like male genitalia, female genitalia can be under strong directional selection.</p>
Database of measurements for damage detection of T-type steel structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure’s response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two steel beams connected at an angle of 90⁰. Presented data related to five different states of joints, seven load levels, two placements of used electrodynamic actuators and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the “<strong>Read_me_first.pdf</strong>” is described the experiment, the format of .csv files names and files’ structure.</p>
Data from: Evaluating the accuracy of methods for detecting correlated rates of molecular and morphological evolution
<p class="MsoNormal"><span>Determining the link between genomic and phenotypic change is a </span><span>fundamental goal in evolutionary biology. Insights into this link can be gained by using a phylogenetic approach to test for correlations between rates of molecular and morphological evolution. However, there has been persistent uncertainty about the relationship between these rates, partly because conflicting results have been obtained using various methods that have not been examined in detail. We carried out a simulation study to evaluate the performance of five statistical methods for detecting correlated rates of evolution. Our simulations explored the evolution of molecular sequences and morphological characters under a range of conditions. Of the methods tested, Bayesian relaxed-clock estimation of branch rates was able to detect correlated rates of evolution correctly in the largest number of cases. This was followed by correlations of root-to-tip distances, Bayesian model selection, independent sister-pairs contrasts, and likelihood-based model selection. As expected, the power to detect correlated rates increased with the amount of data, both in terms of tree size and number of morphological characters. Likewise, greater among-lineage rate variation in the data led to improved performance of all five methods, particularly for Bayesian relaxed-clock analysis when the rate model was mismatched. We then applied these methods to a data set from flowering plants and did not find evidence of a correlation in evolutionary rates between genomic data and morphological characters. The results of our study have practical implications for phylogenetic analyses of combined molecular and morphological data sets, and highlight the conditions under which the links between genomic and phenotypic rates of evolution can be evaluated quantitatively.</span></p>
Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake
<p class="MsoNormal">Theory predicts that genetic erosion in small, isolated populations of endangered species can be assessed using estimates of neutral genetic variation reflecting long-term impacts of genetic drift, yet this widely used approach has been questioned in the genomics era. Here we leverage a chromosome-level assembly and whole genome resequencing data (N=110 individuals) from an endangered rattlesnake (<em>Sistrurus catenatus</em>) to evaluate the relationship between genome-wide neutral and functional diversity over long- and short-term timescales. As predicted for populations at long-term equilibrium, we found a positive correlation between population-level estimates of neutral genetic diversity (π) and the mean number of highly detrimental loss-of-function mutations, and a negative relationship between neutral genetic diversity and an estimate of genetic load. In contrast, we found only a weak, non-significant positive correlation between levels of neutral and adaptive variation. Additional analyses using estimates of drift at more recent time scales (> 100 generations) show expected correlations between both measures of genetic load, but a lack of a significant correlation with levels of adaptive variation. Individual-based demographic metrics that capture drift impacts over recent time scales confirm these results. Broadly, our results confirm that estimates of diversity and demography based on neutral genetic variation provide an accurate measure of a key component of genetic erosion – genetic load – in populations of a threatened vertebrate. Our findings also provide nuance to the neutral-functional diversity controversy by demonstrating that neutral genetic diversity is useful in predicting some, but not all, components of functional genetic diversity.</p>
Determine Effect of Enzalutamide (MDV3100) on the Androgen Signaling Pathway in Correlation With the Anti-tumor Effects of Enzalutamide
ClinicalTrials.gov study NCT01091103. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Association of Host Genetics With Vaccine Efficacy and Study of Immune Correlates of Risk From a Tetravalent Dengue Vaccine
ClinicalTrials.gov study NCT02827162. IPD Sharing: YES. Countries: 1. Publications: 2.
Is There Any Correlation Between Respiratory Variation Ratios of Internal Jugular Vein and Inferior Vena Cava?
ClinicalTrials.gov study NCT04173741. IPD Sharing: Not stated. Countries: 1. Publications: 4.
The Correlation Between Obstructive Sleep Apnea-Related Nocturnal Hypoxemia Parameters and Coronary Microvascular Dysfunction: A Prospective Cohort Study (SLEEP-CMD)
ClinicalTrials.gov study NCT07315399. IPD Sharing: NO. Countries: 1. Publications: 1.
Asymptomatic Carotid Stenosis: Cognitive Function and Plaque Correlates
ClinicalTrials.gov study NCT01353196. IPD Sharing: NO. Countries: 1. Publications: 1.
A Trial of Gabapentin in Vulvodynia: Biological Correlates of Response
ClinicalTrials.gov study NCT01301001. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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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.