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1,773 results for “Supplementary data,”
Supplementary data for: Abducens nerve palsy with ipsilateral excessive eye tearing attributed to internal carotid artery sympathetic plexus schwannoma
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Fecal calprotectin as a predictor of gastrointestinal immune-related adverse events (CF-19): A prospective study - Excel data and supplementary tables
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Characterizing the clinical features and atrophy patterns of MAPT-related frontotemporal dementia with disease progression modelling (Supplementary Data)
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Novel associations of BST1 and LAMP3 with rapid eye movement sleep behavior disorder: supplementary data
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Supplementary data for human Y-chromosome gene expression analysis
<p>Processed data for:</p> <p>AK Godfrey, S Naqvi, L Chmátal, JM Chick, RN Mitchell, SP Gygi, H Skaletsky, DC Page. Quantitative analysis of Y-chromosome gene expression across 36 human tissues. <em>Genome Res</em> (2020).</p> <p>The following six files are provided for reference and for use in future analyses.</p> <p>(1) <strong>gencode.v24.annotation.basic_ccds_nopar.gtf.gz</strong> — transcriptome annotation used in analyses</p> <p>(2) <strong>gtex.ksto.gen24c.prefilt_pass1.genes.est_counts.txt.gz</strong> — genes x samples matrix containing estimated count values output by kallisto for all samples passing initial set of metadata-based filters.</p> <p>(3) <strong>gtex.ksto.gen24c.prefilt_pass1.pcgenes.tpm.txt.gz</strong> — protein-coding genes x samples matrix containing TPM values output by kallisto for all samples passing initial set of metadata-based filters. </p> <p>(4) <strong>gtex.ksto.gen24c.prefilt_pass1.postfilt_pass.pcgenes.tpm.txt.gz </strong>— protein-coding genes x samples matrix containing TPM values output by kallisto for samples passing initial metadata-based filters and expression-outlier filters.</p> <p>(5) <strong>gtex.ksto.gen24c.prefilt_pass1.postfilt_pass.pcgenes.adj_tpm.txt.gz </strong>— protein-coding genes x samples matrix (based on file #4 above) containing TPM values adjusted for RIN, ischemic time, and intronic-read mapping rate.</p> <p>(6) <strong>gtex_metadata_subset.txt</strong> — sample/donor metadata</p> <p>The remaining 24 files contain the input data required to replicate analyses in the manuscript, as detailed at <a href="https://github.com/akg8/MSY-expression">https://github.com/akg8/MSY-expression</a>. HDF5 (`.h5`) files contain individual <a href="https://pandas.pydata.org">pandas</a> DataFrame objects with the key `df`. These files can be downloaded individually, or they can be downloaded all at once by downloading the file <strong>msy_expression.all_input_data.zip </strong>(recommended).</p> <p>---</p> <p><strong>Version history:</strong></p> <ul> <li><strong>Version 1</strong> contained just the six listed files above.</li> <li>In <strong>Version 2</strong>, the remaining 24 files needed for reproducing analyses were added. In addition, gtex_metadata_subset.txt was updated with the previously missing column `SEX`.</li> <li>In <strong>Version 3</strong>, a single zipped file msy_expression.all_input_data.zip was added so that all input data for re-analysis can be downloaded more conveniently.</li> </ul>
Supplementary Data: Antibody-dependent Enhancement of 2019-nCoV Infection, a Major Concern for Prevention
<p>Less than two months after the new coronavirus raged, it has already become a public health problem in the world. Till today, the infectivity and lethality of the virus are not clear enough. Zhongnan Hospital of Wuhan University described in detail the clinical characteristics of 138 hospitalized patients with novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) in Wuhan1. It reported that the in-hospital mortality was 4.3%, which is close to the data in Wuhan (4.1%) but twice the national average (2.0%). The data as of February 9, 2020, shows that the mortality in Wuhan City, Hubei Province, is higher than the average value of other cities in the province (1.5%), and is even higher than the national average except Hubei Province (0.59%). The much higher mortality in Wuhan compared to the whole country raises confusion in people. One possible, but certainly not entirely explained, reason for this phenomenon is the antibody-dependent enhancement (ADE) of 2019-nCoV infection, which we should pay more attention to the future plague prevention.</p>
Keep it real: Selecting realistic sets of urban green space indicators - Supplementary data
<p>This excel sheet contains, for each of the four studied cities, the conceptual framework that is described in the paper "Keep it real: Selecting realistic sets of urban green space indicators".</p> <p>Each of the cities first listed all possible indicators that they could think of. Next, they indicated how each of those indicators relates to each of the KPI; i.e. whether the indicator can not at all (0), somewhat (1) or perfectly measure (2) the KPI. Lastly, the city authorities indicated whether the indicators are implemented of not, and scored some measures of indicator quality (relevance, feasibility, clarity, and credibility)</p>
Supplementary data for: "The Venusian atmospheric oxygen ion escape: Extrapolation to the early Solar System"
<p>Supplementary data for paper "The Venusian atmospheric oxygen ion escape: Extrapolation to the early Solar System", submitted to Journal of Geophysical Research: Planets. See README file for description of the data in each file.</p>
Supplementary data to 'Do beach profiles under non-breaking waves minimize energy dissipation?'
<p>This repository contains the following files:</p> <p>1. 'data_for_tables.xlsx' summarises the results of using the codes in doi:10.5281/zenodo.3725621 for all profiles considered in this associated paper. These data feed into the tables of the paper. Additional notes can be found in the spreadsheet.</p> <p>2. Three files with extension *.sfit are sessions for the 'cftool' toolbox of Matlab (version 2017b) that give the results of the best-fits to the measured profiles.</p>
Supplementary data for Design of hidden thermodynamic driving for non-equilibrium systems via mismatch elimination during DNA strand displacement
<p>Data and processing scripts accompanying the publication.</p>
Supplementary Data: Cloud-based multi-dimensional parallel dynamic programming algorithm for a hydropower station system
<p>The files in this record contain data for cloud-based multi-dimensional parallel dynamic programming algorithm for a hydropower station system considered for publication in Water Resources Research.</p> <p>The files consist of:</p> <ul> <li>cascade reservoir system data;</li> <li>Source code and results of the parallel dynamic programming algorithm program on the physical machine;</li> <li>Source code and results of the parallel dynamic programming algorithm program on the cloud virtual machine;</li> </ul>
Supplementary data : Heritable gene expression variability and stochasticity govern clonal heterogeneity in circadian period
<p>BAM files from exome sequencing of 7 U2OS clonal cells used in the publication titled: Heritable gene expression variability and stochasticity govern clonal heterogeneity in circadian period.</p> <p>Details of samples names are in 'sample details.txt'</p>
Supplementary data Ashby et al,. BTV xMAP
<p>Figure S1: Performance of the BTV 9-plex xMAP assay in detection of BTV reference strains BTV 1-24. Figure S2 Percentage inhibition of BTV-24 amplification in RT-qPCR in the presence of individual (<strong>a</strong>) or multiple (<strong>b</strong>) primers for other serotypes. Table S1: Primers and capture probes used in the xMAP assay. Table S2<strong>. </strong>Composition of the BTV serotyping 9-plex panel. Table S3: Composition of the BTV serotyping 5-plex panel. Table S4: Results of samples tested using group specific RT-qPCR BTV assay</p>
Supplementary material for "Modeling Difficulties in Data Modeling: Similarities and Differences between Experienced and Non-experienced Modelers"
<p>This material supplements the following conference publication:</p> <p>Rosenthal, K., Strecker, S., Pastor, O.: Modeling Difficulties in Data Modeling: Similarities and Differences between Experienced and Non-experienced Modelers. In: ER 2020. Vienna, Austria (2020)</p>
Supplementary data: "Early decarbonisation of the European energy system pays off"
<p>This repository includes input data to run the model <a href="https://github.com/martavp/pypsa-eur-sec-30-path">PyPSA-Eur-Sec-30-paths</a> and the results discussed in the paper "<a href="https://arxiv.org/abs/2004.11009">Early decarbonisation of the European energy system pays off</a>"</p> <p>The code to run the model can be found in the Github repository <a href="https://github.com/martavp/pypsa-eur-sec-30-path">PyPSA-Eur-Sec-30-paths</a> and the permanent repository <a href="https://zenodo.org/record/4014807#.X1IKRYtS-Uk">10.5281/zenodo.4014807</a></p> <p>The directory 'data/' includes all the datasets needed to run the model.</p> <p>The directories 'version-*/' include the network objects obtained as an outcome of the optimization in the different scenarios.</p> <p>The directory 'summaries/' includes summaries with the most relevant aggregated results.</p> <p>All input data (in the directory 'data/') and results (in the directories 'version-*/' and 'summaries/') are released under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International Licence</a> (CC BY 4.0), except those where explicit sources and licences are mentioned in the data folders.</p> <p> </p>
Electronic Supplementary Data - Jurassic to Cenozoic magmatic and geodynamic evolution of the Eastern Pontides and Caucasus belts, and their relationship with the Eastern Black Sea Basin opening
<p>Electronic Supplementary Data related to the study "Jurassic to Cenozoic magmatic and geodynamic evolution of the Eastern Pontides and Caucasus belts, and their relationship with the Eastern Black Sea Basin opening" published in Tectonics.</p>
Data and supplementary material for the paper "A simple image analysis technique for measuring bed surface texture in flume experiments"
<p>This repository contains the Matlab codes developed for the image processing illustrated in the paper "A simple image analysis technique for measuring bed surface texture in flume experiments" submitted to the Journal of Hydrology. Results of the image processing are reported in some excel spreadsheets. We also provide the pdf file of the paper "Morphology, bedload and sorting process variability in response to lateral confinement: results from physical models of gravel-bed rivers" illustrating the laboratory experiments for which we developed the image analysis technique presented in "A simple image analysis technique for measuring bed surface texture in flume experiments". The paper titled "Morphology, bedload and sorting process variability in response to lateral confinement: results from physical models of gravel-bed rivers" has not been published yet, but it has been accepted by the Journal of Geophysical Research - Earth Surface. Thus, we provide the editor acceptance letter as well.</p>
supplementary data to 'Mercury's Interior Structure constrained by Density and P-wave Velocity Measurements of Liquid Fe-Si-C Alloys'
<p>This zipfile contain raw experimental data, the matlab code used for data-analysis, and the interior structure models of Mercury that are used in the paper 'Mercury’s Interior Structure constrained by Density and P-wave Velocity Measurements of Liquid Fe-Si-C Alloys', which is authored by Knibbe et al.</p>
Supplementary data for the manuscript "Aqueous phase behavior of glyoxal and methylglyoxal observed with carbon and oxygen K-edge X-ray absorption spectroscopy".
<p>XAS carbon and oxygen K-edge measurements of aqueous solutions of glyoxal and methylglyoxal and their mixtures with sodium chloride and ammonium sulfate. XAS oxygen K-edge measurements of aqueous glycerol and mixtures with the above-mentioned inorganic salts.</p>
Supplementary Data: Measured values of 13 flood events in the upper watershed of Qingshan Hydrological Station and their simulation results by two models
<p>The files in this record contain measured data of 13 flood events and simulated flood processes from the XAJ and CM-XAJ models considered for publication in Water Resources Research.</p><p> </p><p>The files consist of:</p><p> </p><p>Measured values for 13 flood events of Qingshan Hydrological Station;</p><p>Source code (incomplete) and results of the XAJ Model;</p><p>Source code (incomplete) and results of the CM-XAJ Model;</p><p>Source code of Genetic Algorithm with recourse model.</p>
ScienceDex guides
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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.