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1,007 results for “single use”
Reverberant Magnetic Resonance Elastographic Using a single Mechanical Driver
<p>Reverberant elastography provides fast and robust estimates of shear modulus. However, reverberant elastography uses multiple mechanical drivers, hampering clinical utility. In this work, we hypothesize that a single mechanical driver can generate reverberant shear fields in constrained organs such as the brain. To corroborate this hypothesis, we imaged the brain of a healthy volunteer; and two constrained phantoms containing spherical inclusions with diameters ranging from 4-18 mm. As a secondary goal, we assessed the feasibility of recovering shear modulus from a single component of the reverberant wave field. Viable reverberant and subzone elastograms were produced only when obtained at 50 and 100 Hz in phantoms. Different levels of reverberance were exhibited in different displacement components (70-82% for phantoms and 87-93% for the clinical case); however, wavefields obtained when imaging at 50 Hz and 100 Hz were not significantly different (p>0.05). Errors incurred in reverberant elastograms varied from 5% to 65% when imaging at 50 Hz and 2% to 55% when imaging at 100 Hz. Errors incurred in subzone elastograms ranged from 4% to 18% at 50 Hz and 5% and 50% at 100 Hz. The contrast-to-noise ratio of reverberant elastograms ranged from 20 dB to 44 dB compared to 25 dB to 31 dB in subzone elastograms. The accuracy of the elastograms acquired from the phantom containing internal shear wave reflectors did not differ noticeably. The global brain stiffness estimated from reverberant and subzone elastograms was 2.36 ± 0.95 kPa and 2.5 ± 1.1 kPa, respectively, when imaging at 50 Hz, and 2.56 ± 0.828 kPa and 2.89 ± 1.3 kPa respectively, when imaging at 70 Hz. The phantom study revealed that performance varied depending on the component of displacement used to compute reverberant elastograms; however, the clinical study demonstrated similar performance of reverberant and subzone elastograms</p>
Supplementary materials to: Nano-Strainer: a workflow for identification of single-copy nuclear loci for plant systematic studies, using target capture kits and Oxford Nanopore long reads
<p>In the paper associated with this dataset, a workflow is presented which enables the identification of single-/low-copy nuclear molecular markers for a plant group of interest, by mining data from a small representative target capture experiment done using a commercial probe kit and Oxford Nanopore long-read sequencing. The proposed pipeline first assesses sequence variability contained in the data from targeted loci and assigns reads to their respective genes, via a combined BLAST/clustering procedure. Cluster consensus sequences are then examined based on four pre-defined criteria presumably indicative for absence of paralogy. This is done by calculating four specialized indices; loci are ranked according to their performance in these indices, and top-scoring loci are considered putatively single- or low-copy. The approach can be applied to any probe set. As it relies on long reads, the contribution also provides template workflows for processing Nanopore-based target capture data. Identified loci can be used for NGS amplicon sequencing. For detection of possibly remaining paralogy in these data, which might occur in groups with rampant paralogy, the long-read assembly tool CANU is employed. The presented workflow can be useful for researchers dealing with reticulate or polyploidization phylogenetic histories in plants.</p> <p>The present dataset contains several documents supplementing the original paper. Its most important elements are a detailed description (alongside two graphical workflow figures) of all methods employed in the study, suitable for reproducing the steps of the workflow and also the wet-lab work. The workflow employs a collection of BASH, Python and R scripts which is available here, together with a detailed account on command line use in Linux. Also, reference sequences for the identified markers can be found as well as sequence alignments derived from the amplicon sequencing.</p>
Supporting data for "Dissecting the cellular architecture of neuroblastoma bone marrow metastasis using single-cell transcriptomics and epigenomics unravels the role of monocytes at the metastatic niche"
<p>This data repository contains several datasets supplementing the paper “Dissecting the cellular architecture of neuroblastoma bone marrow metastasis using single-cell transcriptomics and epigenomics unravels the role of monocytes at the metastatic niche” by Fetahu, Esser-Skala, Dnyansagar et al. (2023).</p> <ul> <li>HOMER_Results.zip: detailed results of the HOMER analysis</li> <li>nblast_scopen_gene_activity_normalized_motifs_added.rds: Seurat object with scATAC-seq data</li> <li>snp_array.tgz: SNP array data</li> <li>R_data_generated.tgz: Files generated by the scRNA-seq analysis scripts in the GitHub repository associated with the publication.</li> </ul>
Data for the manuscript 'Single fibre coating of cellulosic fibres for hydrophilic modification using carboxymethylated starch'
<p>Research data to the manuscript about hydrophilic modification of cellulosic fibers using carboxymethylated starch</p>
Data for AJ paper: Mass ratio of single-line spectroscopic binaries with visual orbits using Bayesian inference and suitable priors
<p>Data and plots for paper "Mass ratio of single-line spectroscopic binaries with visual orbits using Bayesian inference and suitable priors" accepted for publication in The Astronomical Journal.</p>
Single-Dose Gene Replacement Therapy Using for Patients With Spinal Muscular Atrophy Type 1 With One or Two SMN2 Copies
ClinicalTrials.gov study NCT03837184. IPD Sharing: YES. Countries: 3. Publications: 1.
Data from: Differential use of nest materials and niche space among avian species within a single ecological community
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Supplementary materials to: Nano-Strainer: a workflow for identification of single-copy nuclear loci for plant systematic studies, using target capture kits and Oxford Nanopore long reads
Open the record for dataset details and reuse information.
Ultra-sensitive and multiplexed tracking of single cells using whole-body PET/CT
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Data of: Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts
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Using single-worm data to quantify heterogeneity in Caenorhabditis elegans-bacterial interactions
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Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
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Quantifying phenology and migratory behaviours of hummingbirds using single-site dynamics and mark-detection analyses
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DEPP: Deep learning enables extending species trees using single genes
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DEPP: Deep learning enables extending species trees using single genes
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All Luminosity Templates Associated with "Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates"
<p>Zip files for the luminosity normalized individual stellar templates, and all combinations of SB2 templates. The templates are in fits format. The first table extension contains the template (wavelength, luminosity, variance, error). These luminosity templates have units of erg /s /angstrom.</p>
Ultimate strength assessment of stiffened panel using non-linear mechanical behavior of an equivalent single layer: grillage FE model used for analysis
<p>This example shows how the ESL can be applied in the ultimate strength structural analysis in Abaqus finite element software. In other words, ESL methodology is applied only in some parts of the structure while larger structural supporting components like girders and webframes are still modeled explicitly. FIles include also the Full_3D_FEM model used for validating the ESL model.</p> <p>Dataset includes following files:</p> <p>1. ESL_nonlinear_grillage.inp - this is Abaqus input file for running the ESL nonlinear grillage model.</p> <p>2. ugensFINALv_master.for - this defines the nonlinear stiffness or ABD matrix. This is called by input file (ESL_nonlinear_grillage.inp ).</p> <p>3. Full_3D_FEM.inp - Full_3D_FEM model used for validating the ESL model.</p> <p> </p>
A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts
<p>The purpose of this study was t<span>o compare Global Warming Potential (GWP) of hospitals converting from single-use to reusable sharps containers (SSC, RSC). Does conversion to RSC result in GWP reduction? </span><span>Using BS PAS 2050:2011 principles, a retrospective, before/after intervention quantitative model together with a purpose-designed, attributional "cradle-to-grave" life cycle tool, were used to determine the annual GHG emissions of the two sharps containment systems. Functional unit was total fill-line litres (FLL) of sharps containers needed to dispose of sharps for one-year period in 40 trusts. Scope 1, 2 and 3 emissions were included. Results were workload-normalised using NHS national hospital patient-workload indicators. A sensitivity analysis examined areas of data variability.</span></p> <p><span><b>Setting</b>. Acute-care hospital trusts in United Kingdom.</span></p> <p><span><b>Participants</b>. 40 NHS hospital Trusts using RSC.</span></p> <p><span><b>Intervention</b>. <span>Conversion from SSC to RSC. SSC and RSC usage details in </span><span>17 base-line trusts immediately prior to 2018 were applied to the RSC usage details of the 40 trusts using RSC in 2019</span><span>.</span></span></p> <p><span><span>The comparison of GWP </span>calculated in carbon dioxide equivalents (CO<sub>2</sub>e)<span> generated in the manufacture, transport, service and disposal of</span> 12 months, hospital-wide usage of both containment systems in the 40 trusts. </span><span>The 40 trusts converting to RSC reduced their combined annual GWP by 3267.4 tonnes CO<sub>2</sub>e (-83.9%); eliminated incineration of 900.8 tonnes of plastic; eliminated disposal/recycling of 132.5 tonnes of cardboard; and reduced container exchanges by 61.1%. GHG as kg CO<sub>2</sub>e/1000 FLL were 313.0 and 50.7 for SSC and RSC systems respectively. A sensitivity analysis showed substantial GHG reductions within unit processes could be achieved, however their impact on relevant final GWP comparison varied <5% from base comparison.</span> Adopting RSC is an example of a sustainable purchasing decision that can assist trusts meet NHS GHG reduction targets and can reduce GWP permanently with minimal staff behaviour-change.</p>
Gathered datasets of cardiorespiratory activity by using the inductive coupling with single coil together with reference waveforms of ECG and spirometer
<p>Hereby the datasets, that were gathered during the experiments of monitoring the cardiorespiratory activity by using the inductive coupling together with the reference waveforms of ECG and spirometer, are published.:<br> Waveforms of inductive monitoring.zip<br> Reference waveforms of ECG and spirometer.zip</p> <p>A single volunteer participated in the experiments: healthy male, 33 years old, height of 183 cm and weight of 70 kg.</p> <p>The results are gathered from 12 positions lying around the thorax in imaginary horizontal level, approximately 10 mm below xiphisternal joint. The central position on front side of thorax is designated according to xiphisternum. The central position on front side of thorax is designated according to backbone.</p> <p>The datasets are available in .txt format, and are in separate .zip packages for inductive monitoring and reference waveforms. The correcponding dataset for every position can de identified by position number in both datasets. The signals are raw signals, not processed in any way.</p> <p>In the case of inductive monitoring the change variation of equivalent parallel resonance impedance (Rp) is shown. Concerning the reference waveforms, in the case of ECG, the result is shown in voltages (V). The reference data of respiration (gathered by using spirometer) is available in the form of two sets of digital pulses (0-s and 1-s). These pulses are representing the inhalation and exhalation i.e. either the rotor of the spirometer turns in one way or another. According to the frequency of the pulses, depending on the air flowing speed, the respiratory waveform can be constructed.</p>
Analysis of lac operon induction with single cell resolution using the DIMM microfluidics chip and the MoMA software
<p>In this work, we demonstrate the power of the DIMM (Dual Input Mother Machine), a new microfluidics setup allowing long term environmental control and single cell resolution, and MoMA (Mother Machine Analyzer), its companion image analysis sofware.</p> <p>We study the induction of the <em>lac</em> operon in <em>Escherichia coli</em> MG1655 when nutrients alternate between glucose and lactose, using a translational fusion of LacZ with GFP integrated at the endogeneous locus.</p> <p>The dataset is made of two archives:</p> <ul> <li>DIMM_MoMA_images.tar.gz contains the image data produced in this study in a form ready to be used in MoMA</li> <li>DIMM_MoMA_data.tar.gz contains textual data files produced by MoMA and its postprocessing, with the cell identifier, length and fluorescence intensity of each cell in each frame.</li> </ul> <p>Detailed instructions are provided in the ReadMe.md file (NB: this is a text file using markdown syntax, you can open it in your favorite text editor).</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.