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7,195
datasets available to search
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Dataset results
7,195 results for “SET”
Avian influenza virus data sets
<p>FASTA files containing AIV data sets.</p>
Much or More? Experiments of Rationality and Spite with School Children - Data Set
<p>Much or More? Experiments of Rationality and Spite with School Children Original Data set.</p> <p>Data was collected as a binary choice coded in the following way:</p> <p>0 - played <em>min</em> ; 1 - played <em>max</em></p> <p>Each row represents player A and B of each game and each column represents treatment; the 5 rounds of the game; payoff for each round; total payoff of the 5 rounds; age of the player, school year of the player and school of the player. Name of schools are coded inside the file.</p> <p>See original article for references on how data was collected and analysed.</p>
Data set for Intelligence 2015
<p>Fields of the dataset: Case, Aboriginal, FstSAWeighted, Megathermal, HDI, Country, Muslim, Quadrangle, AbsLat, Longitude, CCA, Regions, TFR, Data, LDC, FSTxHDI</p>
ChEMBL20 data sets for multi-property landscape analysis
<p>Six data sets from ChEMBL (version 20) are provided with their ChEMBLID, SMILES (in SMILES.zip) and descriptor values (Properties.zip). Additionally, the coordinates of compounds and property axes displayed in the linked article are given (Coordinates.zip).</p>
Data set 1 for CARBON AND GENE FLOW MEDIATED BY VIRUS LIFE
<p>Experimental data sets used for manuscripts associated with coccolithovirus infection of <em>Emiliania huxleyi</em>. Flow cytometry data; expression data of genes associated with photophysiology, fatty acid metabolism and sulphur cycling.</p> <p>Please contact Willie Wilson (wilwil@sahfos.ac.uk) for further information.</p> <p> </p>
Data set 2 for CARBON AND GENE FLOW MEDIATED BY VIRUS LIFE
<p>Experimental data sets used for manuscripts associated with coccolithovirus infection of <em>Emiliania huxleyi; </em>and grazing of virus-infected <em>Emiliania huxleyi. </em>Data includes: Flow cytometry; photophysiology, carbon/nitrogen, fatty acid metabolism, sulphur cycling and cell volume.</p> <p>Please contact Willie Wilson (wilwil@sahfos.ac.uk) for further information.</p>
Example Cytidine data set from I19-1 at Diamond Light Source
<p>Data set recorded in 6 scans, three omega and three phi, on the updated Diamond Light Source beamline I19-1, as part of routine commissioning. These data have been processed several times with different packages and are being made available to the community as an example set to allow other data processing software authors to verify the content of the data and headers.</p>
Sidwell Austroasiatic lexical data set for phylogenetic analyses 2015 version
<p>This is an Excel spreadsheet presenting lexical data for 122 Austroasiatic (AA) doculects, based on a 200 item list of semantic values. Each lexical item is scored for cognate judgement within each numbered semantic value. The purpose is to permit and test phylogenetic and lexicostatistical analyses. It is anticipated that the data set contains unrecognised errors, and is generally deserving of improvement, and scholars are heartily invited to report any and all shortcomings, or to make such offers of improvement as they may feel appropriate; such with be received with humility and acted upon with enthusiasm.</p>
Initial Set of Open Digital Science indicators
<p>Initial set of indicators developed in the Open Digital Science Study. Since the indicators proposed differed considerably in terms of their scope, granularity, specificity, and measurability, it was stated in the introductory part of the assessment that they should be considered a starting point for further development rather than a mature set of indicators</p> <p> </p> <p> </p>
Data set for survey questionnaires to assess self-medication practices
<p>This is pubmed and web of science data sets for a review on self medication survey questionnaires. </p>
HREBSD data set for stress fields near deformation twins
<p>HR-EBSD measurements made on a deformed Zircaloy-2 sample.</p> <p>This data set was imported into Abaqus CAE to study the effects of reorientation and shear transfer on the load sharing of twin/parent pairs using a crystal plasticity model developed by Hamidreza Abdolvand. The work and further analysis of the results is described in:</p> <p>"On the effects of reorientation and shear transfer during twin formation: comparison between high resolution electron backscatter diffraction experiments and a crystal plasticity finite element model", International Journal of Plasticity, 2016, doi:10.1016/j.ijplas.2016.05.006</p> <p> </p> <p> </p> <p>Other relevant papers:</p> <p>Abdolvand, H., Wilkinson, A. J., “Assessment of Residual Stress Fields at Deformation Twin Tips and the Surrounding Environment”, <em>Acta Materialia</em>, February 2016, Vol 105, Page 219-231, DOI: 10.1016/j.actamat.2015.11.036</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part I- In situ Three-Dimensional X-ray Diffraction Measurement”, <em>Acta Materialia</em>, July 2015, Vol 93, Page 246-255, DOI: 10.1016/j.actamat.2015.04.020</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part II- Crystal Plasticity Finite Element Modeling”, <em>Acta Materialia</em>, July 2015, Vol 93, Page 235-245, DOI: 10.1016/j.actamat.2015.04.025</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Schmidt, S., Lienert, U., Diak, B., Withers, P. J., Daymond, M. R., “On the Deformation Twinning of MgAZ31B: a Three-Dimensional X-ray Diffraction Experiment and Crystal Plasticity Finite Element Model”, <em>International Journal of Plasticity</em>, July 2015, Vol 70, Page 77-97, DOI: 10.1016/j.ijplas.2015.03.001</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., “Multi-Scale Modeling and Experimental Study of Twin Inception and Propagation in Hexagonal Close-Packed Materials Using a Crystal Plasticity Finite Element Approach; Part I: Average Behavior”, <em>Journal of The Mechanics and Physics of Solids</em>, 2013, Vol 61 (3), Page 783-802, 10.1016/j.jmps.2012.10.013</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., “Multi-Scale Modeling and Experimental Study of Twin Inception and Propagation in Hexagonal Close-Packed Materials Using a Crystal Plasticity Finite Element Approach; Part II: Local Behavior”, <em>Journal of The Mechanics and Physics of Solids</em>, 2013, Vol 61 (3), Page 803-818, DOI: 10.1016/j.jmps.2012.10.017</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., Mareau, C., “Incorporation of Twinning into a Crystal Plasticity Finite Element Model: Evolution of Lattice Strains and Texture in Zircaloy-2” <em>International Journal of Plasticity</em>, 2011, Vol 27 (11), Page 1721-1738. DOI:10.1016/j.ijplas.2011.04.005</p> <p> </p> <p> </p>
Aminergic G protein-coupled receptor (GPCR) mutation data set
<p>Curated set of 6553 quantitative mutation data points covering 34 aminergic G protein-coupled receptors, annotated according to GPCRdb standards (http://gpcrdb.org/) building from the data set published by Kooistra et al. in BJP 2013, 170, 101.</p>
Chemokine G protein-coupled receptor (GPCR) mutation data set
<p>Curated set of 2004 quantitative mutation data points covering 10 chemokine G protein-coupled receptors, annotated according to GPCRdb standards (http://gpcrdb.org/) building from the data set published by Scholten et al. in BJP 2012, 165, 1617.</p>
Panasonic NCR18650B formation, RPT and half cell data set
<p>This dataset is a complement to a publication in "Batteries":</p> <p>Durability and Reliability of EV Batteries Under Electric Utility Grid Operations.</p> <p>Part1: Cell-to-cell variations and preliminary testing </p> <p>The data consists on matlab files for each tested cell.</p>
R data set: The Cancer Genome Atlas Gene Expression data
<p>This compound data set comprises the following information from the The Cancer Genome Atlas:</p> <ul> <li>RNA-Seq counts for 60483 genes across 11093 samples</li> <li>HuEx 1.0 ST gene expression data for 18632 genes across 1211 samples</li> <li>clinical indicators for 11160 patients</li> </ul> <p>All gene expression data is annotated across ENSEMBL, ENTREZ and symbols. Samples are annotated by TCGA barcodes.</p> <p>To read the data set into R (requires 6 GB of RAM) use:</p> <p>tcga <- readRDS("tcga.rds")</p>
Drosophila simulans VCF: The set of single nucleotide polymorphisms and insertion/deletions in a population of 170 Drosophila simulans lines.
<p>Heritable phenotypic variation in natural populations exceeds the levels predicted under mutation-selection balance where purifying selection removes variation. Balancing selection, inefficient or weak selection, polygenic adaptation, and non-equilibrium populations are all possible explanations for excess variation. Yet, available genomic data indicate an abundance of directional selection. One potential explanation is that fleeting directional selection drives beneficial mutations to high frequency in rapid waves resulting in many intermediate frequency haplotypes. This hypothesis is supported by the genomic data from a panel of 170 D. simulans genotypes established from a single stable population which show evidence for an abundance of incomplete soft sweeps. Demography, admixture, and balancing selection cannot entirely explain the patterns in these data, while transient selective sweeps can account for all the patterns of variation observed in this population. One interpretation is that constant environmental shifts rapidly change the optimal phenotype within Drosophila populations, leaving a signature of adaptive responses.</p>
The RDP and GreenGenes taxonomic training sets formatted for DADA2
<p>These DADA2-formatted training fastas were derived from the Ribosomal Database Project (RDP Training Set 14) and the GreenGenes Database Consortium (Version 13.8).</p>
IMP test data set
<p>This file contains the test data set used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p>This test data set was used for benchmarking the run times of IMP. They are derived by selecting the first 5% of reads from a wastewater sludge microbial community dataset (see manuscript). Also included are the respective preprocessed FASTQ files such that IMP can be tested without running the preprocessing step. A README file inside the folder briefly describes the different FASTQ files contained in the folder.</p>
IMP simulated mock community data set
<p>This file contains the simulated mock (SM) metagenomic and metatranscriptomic dataset along with the original genomes used for simulation used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p>The folder contains two subfolders (MG and MT), each containing the simulated metagenomic (MG) data and simulated metatranscriptomic (MT) data respectively. The files within these folders are in FASTQ format. The methods for generating these simulated data sets are described in the article.<br> </p> <p>The genomes and the resulting simulated metatranscriptomic data was generated and analysed within the article:</p> <p><strong>Comparison of assembly algorithms for improving rate of metatranscriptomic functional annotation</strong></p> <p>Albi Celaj, Janet Markle, Jayne Danska and John Parkinson; 2014; doi:10.1186/2049-2618-2-39</p> <p> </p> <p>It was provided upon request by the first author Albi Celaj, with permission to share the data. Please cite the aforementioned publication if this simulated metatranscriptomic data is used data is used.</p>
Example pRF data set for SamSrf
<p>This archive contains an example data set for a pRF mapping experiment. The functional data have already been motion corrected and coregistered to the structural scan. The structural has also been reconstructed in FreeSurfer. The archive contains the minimal files necessary to reproduce a pRF analysis from this data, including the cortical projection steps and the actual analysis.</p> <p>This assumes you will use the SamSrf toolbox for pRF mapping (although you could also analyze it with other packages):</p> <p>https://dx.doi.org/10.6084/m9.figshare.1344765</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.