Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
173
datasets available to search
ShareScore release 0.9.0
Dataset results
173 results for “Statistical analysis”
Total Elbow Replacement in England: Analysis of National Joint Registry and Hospital Episode Statistics Data
ClinicalTrials.gov study NCT06355011. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Statistical analysis of dental variation in the Oligocene equid Miohippus (Mammalia, Perissodactyla) of Oregon
Open the record for dataset details and reuse information.
Data from: Analysis of statistical correlations between properties of adaptive walks in fitness landscapes
Open the record for dataset details and reuse information.
Statistics and quantification dataset of Haspin and its related proteins analysis in mouse spermatocytes
Open the record for dataset details and reuse information.
cDNA sequence of E2 gene family in Arabidopsis thaliana and data of statistical analysis
Open the record for dataset details and reuse information.
Data from: Accounting for multiple comparisons in statistical analysis of the extensive bioassay data on glyphosate
Open the record for dataset details and reuse information.
Datasets and statistical analysis scripts_Disturbance reshapes diaspore interactions
<p>Primary datasets and statistical analysis scripts of the manuscript entitled:</p> <p><strong>"Topsoil disturbance reshapes diaspore interactions with ground-foraging animals in a megadiverse grassland"</strong></p> <p>Andre J. Arruda¹<sup>,</sup>²<sup>,</sup>³*, Fernanda V. Costa<sup>4</sup>, Tadeu J. Guerra², Patrícia A. Junqueira², Roberta L.C. Dayrell¹<sup>,</sup>², João V. S. Messeder², Hanna T. S. Rodrigues², Elise Buisson³, Fernando A. O. Silveira²<sup>,</sup><sup>5</sup></p> <p>1 University of Western Australia, School of Biological Sciences, Australia</p> <p>2 Federal University of Minas Gerais, Department of Botany, Brazil</p> <p>3 Avignon Université, Institut Méditerranéen de Biodiversité et d’Ecologie, CNRS,</p> <p>IRD, Aix Marseille Université, IUT d’Avignon, AGROPARC, France</p> <p>4 Federal University of Ouro Preto, Graduate School in Ecology of Tropical Biomes, Brazil</p> <p>5 Federal University of Minas Gerais, Department of Genetics, Ecology and Evolution, Brazil</p> <p>*Corresponding author: ajarruda@gmail.com</p>
Root crown images of soybean and wheat and statistical analysis for RhizoVision Crown
<p>This repository contains raw image data of root crowns imaged using the backlit RhizoVision Crown platform of soybean and wheat plants phenotyped in Missouri and Oklahoma, respectively, as described in the below manuscript. Data files and the R scripts are included for complete statistical analysis associated with the imaged root crown set as well as validation using images of copper wires and simulated root images. We request any reuse of this data to both cite this repository and also the publication given below.</p> <p><strong>Citation:</strong></p> <p>Seethepalli, A., Guo, H., Liu, X., Griffiths. M. G., Almtarfi, H., Li, Z., Liu, S., Zare, A., Fritschi, F., Blancaflor, E., Ma, X., and York, L. M. (2020). RhizoVision Crown: An integrated hardware and software platform for root crown phenotyping. <em>Plant Phenomics. doi:10.34133/2020/3074916</em></p> <p><strong>Link: </strong><a href="https://spj.sciencemag.org/plantphenomics/2020/3074916/">https://spj.sciencemag.org/plantphenomics/2020/3074916/</a></p> <p>Root crown images were acquired using the RhizoVision Imager software available at:</p> <p><a href="https://zenodo.org/record/2585882#.XWgOAeNKiUk">https://zenodo.org/record/2585882#.XWgOAeNKiUk</a></p> <p>Image analysis of physical wires, simulated dicot and monocot root systems, and soybean and wheat root crowns was originally conducted with RhizoVision Analyzer. However, Analyzer has been replaced by RhizoVision Explorer that uses the same underlying algorithms and the analysis can be recreated using the 'whole root' mode of Explorer, available here:</p> <p><a href="https://zenodo.org/record/4095629">https://zenodo.org/record/4095629</a></p> <p><strong>Image Files</strong></p> <p>physical_validation_wires.zip - A set for validation of physical units using 10 images of 2 individual wires of 5 gauges (10, 16, 22, 28, 32) in PNG format acquired using the RhizoVision Crown hardware platform. Includes a CSV file containing measured length and diameters as well as those from image analysis using RhizoVision Analyzer.</p> <p>Soybean_RVC_RootCrowns.zip - 2,778 greyscale images in PNG format of field excavated soybean root crowns.</p> <p>Wheat_RVC_RootCrowns.zip - 1,754 greyscale images in PNG format of field excavated wheat root crowns.</p> <p>metadata_Analyzer_allImageSets.zip - CSV files with the metadata files output by the RhizoVision Analyzer software for the physical validation, validation of simulated dicots and monocots (described in preprint), and the soybean and wheat root crown images. Useful to see thresholding and physical resolution settings.</p> <p>The simulated monocot and dicot root systems images and associated data are described in the preprint and available from Lobet et al. here:</p> <p>Lobet, Guillaume, Koevoets, Iko, Noll, Manuel, Tocquin, Pierre, Meyer, Patrick E, Pagès, Loic, & Périlleux, Claire. (2016). Library of simulated root images, with different noise levels [Data set]. Zenodo.</p> <p><a href="https://zenodo.org/record/208214">https://zenodo.org/record/208214</a></p> <p><strong>Statistical Analysis</strong></p> <p>Rcode_allData.zip - Contains a single .R text file with code to reproduce all statistics and data figures. Contains several .CSV data files used by the R code. Assumption for running is that R code and data files are in the same working directory and setwd() is set there. Also, libraries needed are called at the top of the script and need to be previously installed.</p> <p><strong>Hardware Plans</strong></p> <p>RhizoVision_Crown_Hardware_Plans_Details.pdf - For completeness, hardware plans for the RhizoVision Crown platform as described in the manuscript are included. Currently, we recommend the following camera and lens to use in this system:</p> <p>Basler 5472 monochrome usb camera</p> <p><a href="https://graftek.biz/products/basler-aca5472-17um">https://graftek.biz/products/basler-aca5472-17um</a></p> <p>This Moritex 25 mm lens:</p> <p><a href="https://graftek.biz/products/moritex-ml-u2515sr-18c?">https://graftek.biz/products/moritex-ml-u2515sr-18c?</a></p> <p><br> <br> ⇒ Version 2 of this repository includes updates based on peer-review of the manuscript. New versions of physical_validation_wires.zip and Rcode_allData.zip were uploaded.</p> <p>⇒ Version 3 of this repository includes updates based on peer-review of the manuscript. A new version of Rcode_allData.zip was uploaded.</p>
Supplementary material for Roca-Neyra Equids: Late Miocene to Early Pleistocene Hipparion - Equus database for multivariate and statistical analysis for European fossil Equids
<p>We undertake a redescription of the equid sample from the early Pleistocene of Roca – Neyra, France. This locality has been recently calibrated at the Pliocene/Pleistocene boundary (2.6 ± 0.2 Ma) and therefore it is of interest for the first appearance of the genus <i>Equus </i>and last appearance of hipparionine horses. The Roca – Neyra equid sample, re – analyzed herein using morphological, morphometrical and statistical analyses, has revealed the co – occurrence of <i>Plesiohipparion</i> cf. ?<i>P.</i> <i>rocinantis</i> and <i>Equus</i> cf.<i> E. livenzovensis</i>. The analysis undertaken on several European, African and Asian <i>"Hipparion"</i> sensu lato species from late Miocene to early Pleistocene has revealed different remnant <i>Hipparion</i> lineages in the Plio – Pleistocene of Europe: <i>Plesiohipparion</i>, <i>Proboscidippaion</i> and likely <i>Cremohipparion</i>. The discovery of the first European monodactyl horse, <i>Equus</i> cf. <i>E.</i> <i>livenzovensis</i> in itself correlates Roca – Neyra with other 2.6 Ma European localities in Italy, Spain and in the Khapry area (Azov Sea region). The morphological description of the <i>Equus</i> cf. <i>E. livenzovensis</i> lower cheek teeth has highlighted intermediate features between the North American Pliocene species <i>Equus simplicidens</i> and early Pleistocene European <i>Equus stenonis.</i> Our study supports the hypothesis that <i>E. livenzovensis</i> is a plausible evolutionary predecessor for the <i>Equus stenonis</i> group. These observations underscore the importance of Roca – Neyra, as an important locality for the last European hipparions and the first <i>Equus</i> in the early Pleistocene of Europe.</p>
Data from: A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula
We begin by reviewing the statistical framework of information theory as applicable to neuroimaging data analysis. A major factor hindering wider adoption of this framework in neuroimaging is the difficulty of estimating information theoretic quantities in practice. We present a novel estimation technique that combines the statistical theory of copulas with the closed form solution for the entropy of Gaussian variables. This results in a general, computationally efficient, flexible, and robust multivariate statistical framework that provides effect sizes on a common meaningful scale, allows for unified treatment of discrete, continuous, unidimensional and multidimensional variables, and enables direct comparisons of representations from behavioral and brain responses across any recording modality. We validate the use of this estimate as a statistical test within a neuroimaging context, considering both discrete stimulus classes and continuous stimulus features. We also present examples of analyses facilitated by these developments, including application of multivariate analyses to MEG planar magnetic field gradients, and pairwise temporal interactions in evoked EEG responses. We show the benefit of considering the instantaneous temporal derivative together with the raw values of M/EEG signals as a multivariate response, how we can separately quantify modulations of amplitude and direction for vector quantities, and how we can measure the emergence of novel information over time in evoked responses. Open-source Matlab and Python code implementing the new methods accompanies this article.
Data from: Quantification and statistical analysis methods for vessel wall components from stained images with Masson's trichrome
Purpose: To develop a digital image processing method to quantify structural components (smooth muscle fibers and extracellular matrix) in the vessel wall stained with Masson's trichrome, and a statistical method suitable for small sample sizes to analyze the results previously obtained. Methods: The quantification method comprises two stages. The pre-processing stage improves tissue image appearance and the vessel wall area is delimited. In the feature extraction stage, the vessel wall components are segmented by grouping pixels with a similar color. The area of each component is calculated by normalizing the number of pixels of each group by the vessel wall area. Statistical analyses are implemented by permutation tests, based on resampling without replacement from the set of the observed data to obtain a sampling distribution of an estimator. The implementation can be parallelized on a multicore machine to reduce execution time. Results: The methods have been tested on 48 vessel wall samples of the internal saphenous vein stained with Masson's trichrome. The results show that the segmented areas are consistent with the perception of a team of doctors and demonstrate good correlation between the expert judgments and the measured parameters for evaluating vessel wall changes. Conclusion: The proposed methodology offers a powerful tool to quantify some components of the vessel wall. It is more objective, sensitive and accurate than the biochemical and qualitative methods traditionally used. The permutation tests are suitable statistical techniques to analyze the numerical measurements obtained when the underlying assumptions of the other statistical techniques are not met.
Statistical analysis and dataset for: Linepithema humile shows a lower drinking acceptance for two psychoactive chemicals when using a novel dual-feeder method
Open the record for dataset details and reuse information.
Raw data and statistical analysis
<p>Supplementary data for https://doi.org/10.1084/jem.20221190</p>
The mediating role of statistical anxiety in the relationship between statistical attitudes and statistical self-efficacy beliefs of students taking biostatistics courses: A path analysis
Open the record for dataset details and reuse information.
Supplemental R code and csv files for statistical analysis on Doi et al. "Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities"
<p>Supplemental R code and csv files for statistical analysis on Doi et al. "Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities"</p>
Phenotypic and marker data for statistical genetic analysis of Minnesota maize lines
<p>Publicly available maize lines are a resource for studying quantitative genetic variation in plants. This dataset includes cluster or subpopulation information, phenotypic data, and single nucleotide polymorphism (SNP) data for 272 maize lines developed by the University of Minnesota, other universities, and seed companies. The lines were evaluated at multiple locations in Minnesota in 2011 and 2012 for different phenological, morphological, and kernel composition traits. The lines were genotyped for 56,110 SNP loci on the Maize SNP50 Beadchip (Illumina). Filtering for SNP data quality led to data for 28,626 SNP loci for the 272 maize lines. Population structure analysis showed that the maize lines clustered into five subpopulations (A321 or Minnesota 13, B73, Mo17, Oh43, and PH207 or Iodent) that represented most of the U.S. Corn Belt diversity (Schaefer and Bernardo 2013a, Crop Science 53:1529-1536). Genomewide association mapping revealed marker-trait associations for male flowering date, female flowering date, plant height, ear height, and kernel concentration for oil, protein, and starch (Schaefer and Bernardo 2013b, Crop Science 53:2518-2529). The covariance between relatives is a tenet in quantitative genetics, but such classical theory has ignored any resemblance between individuals unrelated by pedigree. Analysis of this maize dataset showed that a covariance between nonrelatives in maize is not ubiquitous but it is sometimes rpesent for specific traits and for certain groups of unrelated individuals (Bernardo 2022, Heredity).</p>
iGEM-Leiden-2022-Core Experiments 5 Statistical Analysis
<p>Statistical Analysis Core Experiment 5 iGEM Leiden 2022</p>
iGEM-Leiden-2022-Core Experiments 6 Statistical Analysis
<p>Statistical Analysis Core Experiment 6 iGEM Leiden 2022</p>
Supplementary material 1 from: Thomaes A, Verschelde P, Mader D, Sprecher-Uebersax E, Fremlin M, Onkelinx T, Méndez M (2017) Can we successfully monitor a population density decline of elusive invertebrates? A statistical power analysis on Lucanus cervus. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GМ (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 1-18. https://doi.org/10.3897/natureconservation.19.11761
Figures of statistical support : Data type: statistical data
A spatial autocorrelation analysis of environmental factors related to Dengue using Moran's I spatial statistics: A study from Nepal 2020-2023
Open the record for dataset details and reuse information.
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.