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4,563 results for “correlations”

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dryad32/100

Correlation analysis of epicardial adipose tissue and ventricular myocardial strain in Chinese amateur marathoners using cardiac magnetic resonance

<p><span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</p>

opencc-zeroOct 2022View details →
zenodo32/100

Supplementary material 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265

Common OTU lists and Statistical analysis : Explanation note: This file contains detected OTUs in both methods and biodiversity analysis (GLM and t-test)

opencc-by-4.0Feb 2017View details →
zenodo32/100

Supplementary material 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265

Biodiversity workflow in R : Explanation note: Bundle of files for biodiversity analysis in R. All necessary input files and a commented script of R-commands are provided.

opencc-by-4.0Feb 2017View details →
zenodo32/100

Supplementary material 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265

Master data sheet : Explanation note: Spreadsheet file containing information about read abundances of operational taxonomic units (OTUs) and sample metadata. Here, data were prepared for subsequent biodiversity analysis in R.

opencc-by-4.0Feb 2017View details →
zenodo32/100

Supplementary material 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265

Bioinformatics pipeline : Explanation note: This file provides all steps and commands necessary for quality filtering and demultiplexing of raw paired fastq sequences.

opencc-by-4.0Feb 2017View details →
zenodo32/100

Data for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator"

<p>Figures data, data processing code and sample fabrication details for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator", </p> <p>Phys. Rev. X <strong>7</strong>, 031055 – Published 26 September 2017</p>

opencc-by-4.0Aug 2017View details →
zenodo32/100

Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p>0.05).

<p>Figure S1: Two-tailed intergroup Pearson analysis between patient age, COVID-19 detection, de-livery time, gravida, and termination week (Y-axis) with maternal and neonatal anti-COVID-19 immunoglobulins (IgG and IgM) (X-axis), depicted as a three-point color map (lowest = blue, 0 = white, highest = red) showed no significant correlation (at p&gt;0.05).</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

DESI luminous red galaxy samples for cross-correlations

<p>Data points in the figures from "DESI luminous red galaxy samples for cross-correlations" by Rongpu Zhou et al. 2023.</p> <p>Re-uploaded in .tar.gz format so it can be opened in Linux. The data files therein are unchanged.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Global distribution and environmental correlates of marine bioturbation

<p>This repository contains the R scripts necessary for conducting the data analysis for the paper titled 'Global distribution and environmental correlates of marine bioturbation', authored by Shuang Zhang, Martin Solan, and Lidya Tarhan.</p> <p>It includes five R files, which should be executed in the following order:</p> <p>01-Db_L_data_compilation: Initial data exploration and compilation (calculating average Db and L over time)</p> <p>02-Db_L_data_explore: Further data exploration and analysis</p> <p>03-Machine_learning_train: Building the machine learning framework</p> <p>04-Machine_learning_predict: Using the trained machine learning framework to predict global Db and L values</p> <p>05-MPA_analysis: Marine Protected Area (MPA) analysis</p> <p>The repository also contains all necessary data to run these scripts. In addition, this repository also contains the appendix figures for the bioturbation paper.</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Digital Image Correlation for the Structural Helth Monitoring of composite GFRP materials

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Data files for SWOT correlated error analysis

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Scripts for theory figures in: Spatial Correlations Drive Long-Range Transport and Trapping of Excitons in Single H-Aggregates: Experiment and Theory

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opencc-by-4.0May 2024View details →
zenodo32/100

The ambient noise cross-correlation function and teleseismic events, the Love-wave phase velocities, Rayleigh-wave phase and group velocities and H/V, Vsv and Vsh model in the study region (CNCC)

<p>The cross-correlation functions form EOBSArray (COR_CNCC), The Love-wave phase velocities (Love_phase), Rayleigh-wave phase (Rayleigh_phase) and group velocities (Rayleigh_group) and H/V (HtoV),and 3-D Vsv and Vsh model and related uncertainties (Vsv_Vsh_model) in the study region (CNCC) are archieved in the file named CNCC_data.7z.</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Raw data and correlation analysis of physiological data sampled from Atlantic halibut (Hippoglossus hippoglossus) for the development of a PBPK model

<p>Raw data sampled from Atlantic halibut <em>(Hippoglossus hippoglossus)</em> for the characterization of physiological parameters for the development of a species-specific physiology-based pharmacokinetic (PBPK) model. Additionally, the document containes&nbsp;imputed data for a PCA analysis and correlation coefficients and the related p-values from a correlation analysis.&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Neutral processes and taxonomic scale drive beta species-genetic diversity correlations in a submesophotic tropical reef fish

<p>This dataset is associated to the following publication:</p> <p>Vilcot M, Faure N, Andrews KR, Bowen BW, Leprieur F, Manel S. (2024)&nbsp;<strong>Neutral processes and taxonomic scale drive beta species-genetic diversity correlations in a submesophotic tropical reef fish</strong>. <em>Molecular Ecology</em> <strong>33</strong>, e17423. (doi:<a href="https://doi.org/10.1111/mec.17423">10.1111/mec.17423</a>)</p> <p>&nbsp;</p> <h2><strong>Data:&nbsp; </strong></h2> <ul> <li> <p>"Report_DEtel22-6705_SNP_2_ordered_Bowen.csv": SNP data from Dart Sequencing on <em>Etelis coruscans</em>, from Andrews et al. (2020) samples</p> </li> <li>"PA_Mat_GaspObis.RDS": fish species presence data, gathered from an updated version of Albouy et al. (2019)</li> <li> <p>"metadata_samples_full.csv": all <em>Etelis coruscans</em> sample information, from Andrews et al. (2020) and the SEAMOUNTS project</p> </li> <li> <p>"metadata_samples.csv": <em>Etelis coruscans</em> sample information, only for samples that have passed the genetic filtering and were used for subsequent analyses&nbsp;</p> </li> <li> <p>"metadata_stations.csv": sampling station information</p> </li> <li> <p>"Taxonomy_Fishbase.csv": species taxonomic information, downloaded with rfishbase::load_taxa()&nbsp;</p> </li> <li> <p>"traits_Luiz_et_al_2013.csv": species trait information from Luiz et al. (2013) &nbsp;</p> </li> </ul> <h2><strong>Related dataset</strong><strong>:&nbsp; </strong></h2> <p><em>Etelis coruscans </em>SNP data on samples from the SEAMOUNTS project are available at <a href="https://doi.org/10.5281/zenodo.11201065">https://doi.org/10.5281/zenodo.11201065</a></p> <h2><strong>Scripts: &nbsp;</strong></h2> <p>Scripts used to reproduce the analyses and figures of the final article are available at <a href="https://github.com/mvilcot/etelis_SGDCs">https://github.com/mvilcot/etelis_SGDCs</a>&nbsp;</p> <p>&nbsp;</p> <h2><strong>References: &nbsp;</strong></h2> <p>Albouy, C., Archambault, P., Appeltans, W., Ara&uacute;jo, M. B., Beauchesne, D., Cazelles, K., Cirtwill, A. R., Fortin, M.-J., Galiana, N., Leroux, S. J., Pellissier, L., Poisot, T., Stouffer, D. B., Wood, S. A., &amp; Gravel, D. (2019). The marine fish food web is globally connected. Nature Ecology &amp; Evolution, 3(8), Article 8.&nbsp;<a href="https://doi.org/10.1038/s41559-019-0950-y" target="_blank" rel="noopener">https://doi.org/10.1038/s41559-019-0950-y</a> &nbsp;&nbsp;</p> <p>Andrews, K. R., Copus, J. M., Wilcox, C., Williams, A. J., Newman, S. J., Wakefield, C. B., &amp; Bowen, B. W. (2020). Range-Wide population structure of 3 deepwater Eteline snappers across the Indo-Pacific Basin. Journal of Heredity, 111(5), 471‑485.&nbsp;<a href="https://doi.org/10.1093/jhered/esaa029" target="_blank" rel="noopener">https://doi.org/10.1093/jhered/esaa029</a> &nbsp;</p> <p>Luiz, O. J., Allen, A. P., Robertson, D. R., Floeter, S. R., Kulbicki, M., Vigliola, L., Becheler, R., &amp; Madin, J. S. (2013). Adult and larval traits as determinants of geographic range size among tropical reef fishes. Proceedings of the National Academy of Sciences, 110(41), 16498‑16502. <a href="https://doi.org/10.1073/pnas.1304074110" target="_blank" rel="noopener">https://doi.org/10.1073/pnas.1304074110</a>&nbsp;&nbsp;</p> <p>Boettiger, C., Lang, D. T., &amp; Wainwright, P. C. (2012). rfishbase: Exploring, manipulating and visualizing FishBase data from R. Journal of Fish Biology, 81(6), 2030‑2039. <a href="https://doi.org/10.1111/j.1095-8649.2012.03464.x" target="_blank" rel="noopener">https://doi.org/10.1111/j.1095-8649.2012.03464.x</a></p> <p>&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Laboratory visualization of fault asymmetry formation via acoustic emission and digital imaging correlation

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Emergent flat band and topological Kondo semimetal driven by orbital-selective correlations

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis – A Cross-Sectional Study

<p>The study titled "Biomechanical Analysis of Limits of Stability Using Computerized Posturography: Correlations with Functional Mobility in Elderly Individuals with Hip Osteoarthritis &ndash; A Cross-Sectional Study" delves into the intricate relationship between postural stability and functional mobility in elderly patients suffering from hip osteoarthritis (OA). Utilizing advanced computerized posturography, the research quantitatively assesses the limits of stability (LOS) in various directional planes, providing a comprehensive biomechanical profile of the participants. The findings reveal significant discrepancies in LOS between hip OA patients and age-matched asymptomatic controls, underscoring the profound impact of hip OA on balance and stability. Additionally, the study examines the correlation between LOS measurements and functional mobility, as assessed by the Timed Up and Go (TUG) test. The results indicate a strong association, suggesting that diminished postural stability in hip OA patients contributes to impaired functional mobility. This cross-sectional analysis highlights the importance of targeted interventions to enhance stability and mobility in this population, aiming to mitigate the risk of falls and improve overall quality of life.</p>

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

Data from: Evolutionary patterns of ploidy and genome size variations show positive correlations with taxonomic diversity in tropical gingers (Zingiberaceae)

<p><strong>Premise: </strong>Cytogenetic traits such as an organism's chromosome number and genome size are taxonomically critical and can define angiosperm diversity. Variations in these cytogenetic traits by evolutionary processes such as polyploidization are known to be common, although underexplored in tropical plants. Zingiberaceae is a pantropical monocot family with ~1500 species where cytogenetic characters have often been used to define taxonomic boundaries, but a family-wide synthesis of cytogenetic patterns is absent.</p> <p><strong>Methods:</strong> A time-calibrated Bayesian phylogenetic tree was constructed to test for different models of chromosome number and genome size evolution in Zingiberaceae. We next tested how chromosome number and genome size variations differed with lineage-age, taxonomic diversity, and distributional range at two taxonomic ranks: within the family Zingiberaceae, and in the genus Hedychium using correlations, generalized linear models and phylogenetic least square models.</p> <p><strong>Key results:</strong> The most frequent changes in chromosome number within Zingiberaceae were demi-polyploidization and polyploidization (~57 % of the time), followed by ascending dysploidy (~27 %). The subfamily Zingiberoideae showed descending dysploidy at its base, while Alpinioideae showed polyploidization at its internal nodes. Although chromosome counts and genome sizes did not corroborate with each other, suggesting that they are not equivalent, at both taxonomic ranks, higher chromosome number variations and higher genome size variations were associated with higher taxonomic diversity and wider biogeographic distribution.</p> <p><strong>Conclusions:</strong> Within Zingiberaceae, multiple incidences of polyploidization were discovered, and these cytogenetic events appear to have impacted the morphology, decreased genome sizes, and increased taxonomic diversity, distributional range and invasiveness of plants within this family. </p>

opencc-zeroMay 2024View details →
zenodo32/100

Datasets Correlational Longitudinal Studies (Task 4.4, D4.3)

<p>The datasets are part of WP4 and the Report correlational longitudinal studies (D4.3). Data for this deliverable was collected among various types of energy communities and within different sociopolitical contexts:</p> <ul> <li>A representative sample of the Dutch general population via a pre-recruited panel (based on gender, education, income, and age; 3 waves with 6 months in between) &amp; a gender representative sample of the Spanish general population via a pre-recruited panel (3 waves with 6 months in between).</li> <li>Members and non-members of a network of local energy initiatives called Buurkracht (which roughly translates to &ldquo;neighbor power&rdquo;) in the Netherlands (2 waves with 9 months in between)</li> <li>Members of the Global Ecovillage Network (GEN) in Europe (2 waves with 12 months in between).</li> <li>Members of various energy communities in Europe (EU Ecom) via REScoop, the European federation of citizen energy cooperatives, and via the Local Governments for Sustainability global network (ICLEI).</li> <li>The Polish Housing Cooperative Wroclaw South (HCWS) in which multiple energy community initiatives were initiated such as an initiative among residents to collectively decide to install PV systems on a particular building</li> </ul> <p>Available upon request:</p> <ul> <li> <p>More extensive versions of these datasets (e.g., including socio-demographics, levels of involvement in energy communities, number of contacts within energy community, more detailed household energy measures) are available upon request via DataverseNL (<a href="https://doi.org/10.34894/YJDPEB">https://doi.org/10.34894/YJDPEB).&nbsp;</a></p> </li> </ul> <p><em>Note. </em>An earlier version of Task4.1-D4.3_BK-Longitudinal Data_anonymized, when not all data was collected yet, was also used for Deliverable D2.3 <a href="https://online-raketen.at/sites/site0261/media/downloads/d2.3_energy_citizenship_scale_-_validation_study_final_version.pdf">Energy citizenship scale - Validation Study</a> and as such stored in folder Datasets Energy Citizenship Scale Development and Validation (Task 2.4, D2.2, D2.3; <a href="https://doi.org/10.5281/zenodo.11367936">https://doi.org/10.5281/zenodo.11367936</a>).&nbsp;</p>

opencc-by-4.0May 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.