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6,452 results for “Application”
Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging
<p>T2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2 and high-resolution morphometry for cartilage and meniscus. The qDESS uses an analytical signal model to compute T2 relaxometry maps, which require knowledge of the flip angle (FA). In the presence of B1 inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2 measurements.</p> <p>We propose a pixel-wise B1 correction method for qDESS 2 mapping exploiting an auxiliary B1 map to compute the actual FA used in the model. The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging. T2 measurements of femoral cartilage (FC) of both knees of a healthy participant were repeated longitudinally to investigate the association between T2 variation and B1. The results showed that applying the B1 correction could mitigate T2 variations that were driven by B1 inhomogeneities. Specifically, T2 left-right symmetry increased following the B1 correction. Without the B1 correction, T2 values showed a significant (p<0.05) moderate Pearson’s correlation with B1 across time points (0.68 <r<0.70 and 0.74<r<0.79, for the left and right knee, respectively). The correlations and slopes decreased using the B1 correction (0.01<r<0.02 and 0.48<r<0.55, for left and right knee, respectively) and were not statistically significant (p > 0.05). In conclusion, the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2 mapping method to B1, therefore increasing the sensitivity to detect real biological changes.</p> <p>The proposed method may improve the robustness of bilateral qDESS T2 mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies.</p> <p><strong>This repository contains the raw data for reproducing the results reported in the paper. The data are provided in NIFTI format.</strong></p> <p> </p>
Integrated N-mixture models generally perform well against other models for false positive prone data in ecological applications
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Data for development, evaluation and application of NicheNet
<p>Here you can find the datasets used for development, validation and application of NicheNet, a method that links ligands to target genes to model intercellular communictation. The software to use NicheNet (i.e. R package nichenetr) is available at: https://github.com/browaeysrobin/nichenetr</p> <p>Short description of individual files:</p> <p>* data for development of NicheNet: </p> <p>- lr_network.rds: network containing ligand-receptor interactions</p> <p>- signaling_network.rds: network containing signaling interactions</p> <p>- gr_network.rds: network containing gene regulatory interactions</p> <p>- weighted networks.rds: integrated weighted ligand-signaling and gene regulatory network</p> <p>* data for use of NicheNet:</p> <p>- ligand_tf_matrix.rds: matrix containing ligand-gene signaling scores</p> <p>- tf_target_matrix.rds: matrix containing gene-gene regulatory scores</p> <p>- ligand_target_matrix.rds: matrix containing ligand-target gene regulatory potential scores</p> <p>* datasets for validation of NicheNet:</p> <p>- expression_settings.rds: >50 expression datasets profiling the transcriptional response to a ligand</p> <p>* datasets to demonstrate application possibilities of NicheNet:</p> <p>- gene_signature_pemt.txt: p-EMT geneset for which upstream regulators will be predicted</p> <p>- hnscc_expression.rds: single-cell expression data of malignant and non-malignant cells from head and neck squamous cell carcinoma tumors</p>
RxTrends: An R Shiny Application for Visualising Open Data on Prescribed Medications in Ireland
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Data from the thesis diagnosis of waste, application possibilities and future demand for green coconut shells, with evaluation of information uncertainty
<p>Information about the quantities of green coconut shells disposed of in areas where the coconuts are consumed is not precise, which can make it difficult to arrange the management of these residues. Assessing the amount of coconut husk disposed of in a region, and the potential of this material for producing other products, will not only improve the environment, but will also contribute to the economic development and health of the population. Based on a structured face-to-face survey in a representative sample of seven municipalities in the southern coastal region of Bahia, this study identifies and maps the main points of consumption where the disposal of green coconut shells occurs, with an evaluation of the uncertainty of the data. The results show that the region annually wastes the equivalent of 1.7 M shell units with a standard uncertainty (<em>u</em>) of 1.2 k, and the amount of fibers that could be extracted for the manufacture of products is 632 t (<em>u</em> = 59 t). The use of the green coconut shells wasted in this region to create other products would lead to an annual reduction in emissions of between 10.2 t and 20.9 t of CH<sub>4</sub>. A survey conducted over the past ten years of the general framework for possible uses of the shells, and an analysis of strengths, weaknesses, opportunities and threats (SWOT), have shown that green coconut shells have potential for use in the production of gardening products, handicrafts, and briquettes. Valuation based on gardening products reveals that the region could produce 34 M (<em>u</em> = 47 k) units of biodegradable tubes for planting seedlings annually and could therefore generate a gross annual revenue of R$ 170 000 (<em>u</em> = 2 350). With regards to briquettes, considering only the municipality of Ilhéus, production could generate a gross value between R$ 2 190 and R$ 3 650 per month.</p>
Dataset for the manuscript: Design and Characterization of PCB Spiral Coils for Inductive Power Transfer in Medium Voltage Applications
<p>This repository includes datasets supporting our manuscript that is under review process in the IEEE Transaction on Power Electronics. </p> <p>In this first version, we include the data set necessary to reproduce the results of Fig. 6 in the manuscript, which are dimensionless functions for resistance of copper traces with rectangular cross-section.</p> <p>There are two excel files in the repository, one is for the conduction loss and another is for the proximity loss. They both are extracted from Ansys EM simulation. </p> <p>In the simulation, frequency are sweeping from 50 kHz to 1 MHz, copper trace width is sweeping from 1 mm to 20 mm. the thickness of copper trace is sweeping from 0.07 mm to 0.21 mm (since we are considering standard PCB trace thickness here). The copper conductivity we set in the simulation is 5.8e7 Siemens/m.</p>
The application of XRF scanning to different geological archives
<p>For this datasets we further our efforts using high resolution XRF scanning method on loess, stalagmite, and tridacna samples to illucidate which elements can be robustly obtained by XRF scanning, focusing on reproducibility, and the major factors (settings, scanning path, resolution) influencing the results for each three archives. </p>
QRS elongation after radiofrequency application-induced left bundle branch block
<p>Surface electrocardiogram and annotated QRS duration in four distinct animals at baseline (first line), after left bundle branch block (LBBB, middle line), and 4 weeks after LBBB at the endpoint (EP) of the study (botom line). Colored values represent percentage increase in QRS duration and are coded according to the level of significance (red = minimal QRS elongation, orange = mild QRS elongation, green = optimal QRS elongation, >50%).</p>
Dataset related to article "Endoscopic suturing for GI applications: initial results from a prospective multicenter European registry "
<p>This record contains raw data related to article “Endoscopic suturing for GI applications: initial results from a prospective multicenter European registry"</p> <p>Abstract</p> <p><strong>Background and aims: </strong> OverStitch devices (OverStitch and OverStitch Sx; Apollo Endosurgery, Inc, Austin, Tex, USA) are used for a wide range of applications. A European registry was created to prospectively collect technical and clinical data regarding both systems to provide procedural outcomes and to find correlation between procedural characteristics and outcomes. This study shows the initial results of the first 3 years of the registry.</p> <p><strong>Methods: </strong> Patients who underwent endoscopic suturing from January 2018 to January 2021 at 9 centers were enrolled. Data regarding the disease treated,suturing pattern and outcomes were registered. Technical feasibility (success reaching the target area), technical success (success placing sutures), and clinical success (complete resolution of the clinical issue) were recorded and analyzed.</p> <p><strong>Results: </strong> During the study period, 137 patients (57.7% men) were enrolled with 100% technical feasibility rate. Endoscopic suturing was successfully performed in 136 cases (16.7% with OverStitch Sx), obtaining a technical success rate of 99.3%. No adverse events were recorded. Overall clinical success was 89%. Mucosal defects were sutured in 32 patients (100% clinical success). Leaks/fistulas were treated in 23 patients (64.7% clinical success). The clinical success of stent fixations (n = 38) was 85%. Perforations (n = 22) were repaired with a clinical success of 94.7%. No significant correlation between location, suture pattern or number, and the success was found, except in case of fistulas where fistulas <1 cm treated by a continuous suture were more likely to achieve clinical success in the follow-up (P < .001).</p> <p><strong>Conclusions: </strong> OverStitch-based suturing is technically feasible regardless of site and method of suturing, with no cases of failure. The overall technical success rate of 99.3% and the clinical outcome success rate of 89% demonstrate that OverStitch technology provides reliable suturing with clinical advantages, especially with fistulas <1 cm.</p>
Datasset to the publication: Application and challenges of TCR and BCR sequencing to investigate T and B cell clonality in abdominal aortic aneurysm
<p>Title: Application and challenges of TCR and BCR sequencing to investigate T and B cell clonality in abdominal aortic aneurysm</p> <p>Abstract:<br>Background: Abdominal aortic aneurysm (AAA) is a life-threatening cardiovascular disease.32<br>Although its pathogenesis is still poorly understood, recent evidence suggests that AAA displays33<br>characteristics of an autoimmune disease. Particularly T cells responding to AAA-related antigens in34<br>the aortic wall may contribute to the initial immune response. Single-cell RNA (scRNA) T- and B- cell35<br>receptor (TCR and BCR) sequencing is a powerful tool to investigate clonality. However, difficulties36<br>such as limited numbers of isolated cells must be considered during implementation and data analysis,37<br>making biological interpretation challenging. Here, we perform a representative single cell immune38<br>repertoire analysis in experimental murine AAA and show a reliable bioinformatic processing pipeline39<br>highlighting opportunities and limitations of this approach.40<br>Methods: We performed scRNA TCR and BCR sequencing of isolated lymphocytes from the41<br>infrarenal aorta of male C57BL/6J mice 3, 7, 15, and 28 days after AAA induction via elastase42<br>perfusion of the aorta. Sham-operated mice at day 3 and 28 as well as non-operated mice served as43<br>controls.44<br>Results: Comparison of complementarity-determining region (CDR3) length distribution of 179 B45<br>cells and 796 T cells revealed neither differences between AAA and control nor between the disease46<br>stages. We found no clonal expansion of B cells in AAA. For T cells, we identified expanded clones47<br>in 11 of 16 AAA samples and in 1 of 8 control samples. Immune receptor repertoire comparison48<br>indicated that only few clones were shared between the individual AAA samples. The most frequently49<br>used V-genes in the TCR beta chain in AAA were TRBV3, TRBV19, and the splicing variant50<br>TRBV12-2+TRBV13-2.51<br>Conclusion: We found no clonal expansion of TCRs or BCRs in elastase-induced AAA in mice at52<br>different disease stages. Our findings imply that a more precise characterization of TCR and BCR53<br>distribution requires a more extensive number of lymphocytes to prevent undersampling and to54<br>potentially detect rare clones. In summary, this paper examines TCR and BCR sequencing results,55<br>identifies limitations and pitfalls, and offers guidance for future studies.</p> <p> </p> <p> </p> <p>The Raw Data can be found here: https://zenodo.org/doi/10.5281/zenodo.10725979</p> <p> </p>
Design and applicability of TiO2 granulated nanostructured powders
<p>Data sets referred to "<strong><span>Design and applicability of TiO<sub>2</sub> granulated nanostructured powders</span></strong><span>"</span><strong> </strong><span>study</span></p>
Construction and Application of an Epigenetic Atlas of the Human Heart
GEO Series GSE146297. Homo sapiens. 29 samples. Type: Methylation profiling by high throughput sequencing.
High prognostic potential of a transcriptomic signature related to cycling hypoxia: direct application to breast cancer profiling
GEO Series GSE42416. Homo sapiens. 60 samples. Type: Expression profiling by array.
Adaptive local false discovery rate procedures for highly spiky data and their application to RNA sequencing data of yeast SET4 deletion mutants
GEO Series GSE173653. Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by high throughput sequencing.
Student travel application for CIDU 2011
##Eligibility Students with accepted papers at CIDU 2011 ##Application deadline September 12, 2011
Data Mining at NASA: From Theory to Applications
NASA has some of the largest and most complex data sources in the world, with data sources ranging from the earth sciences, space sciences, and massive distributed engineering data sets from commercial aircraft and spacecraft. This talk will discuss some of the issues and algorithms developed to analyze and discover patterns in these data sets. We will also provide an overview of a large research program in Integrated Vehicle Health Management. The goal of this program is to develop advanced technologies to automatically detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft. A case study will be presented on a recent data mining analysis performed to support the Flight Readiness Review of the Space Shuttle Mission STS-119.
Dataset for "Estimating Platform Market Power in Two-sided Markets with an Application to Magazine Advertising"
<p>Kaiser, Ulrich. (2020). Dataset and code used in Minjae Song's paper "Estimating Platform Market Power in Two-sided Markets with an Application to Magazine Advertising," accepted for publication, American Economic Journal: Microeconomics. [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.3726739">http://doi.org/10.5281/zenodo.3726739</a></p>
On the Threat of npm Vulnerable Dependencies in Node.js Applications
<p><strong>PAPER ABSTRACT</strong></p> <p>Software vulnerabilities have a large negative impact on the software systems that we depend on daily. Reports on software vulnerabilities always paint a grim picture, with some reports showing that 83% of organizations depend on vulnerable software. However, our experience leads us to believe that, in the grand scheme of things, these software vulnerabilities may have less impact than what is reported. Therefore, we perform a study to better understand the threat of npm vulnerable packages used in Node.js applications. We define three threat levels for vulnerabilities in packages, based on their lifetime, where a package vulnerability is assigned a low threat level if it was hidden or still unknown at the time it was used in the dependent application (t), medium threat level if the vulnerability was reported but not yet published at t, and high if it was publicly announced at t. Then, we perform an empirical study involving 6,673 real-world, active, and mature open source Node.js applications. Our findings show that although 67.93% of the examined applications depend on at least one vulnerable package, 94.91% of the vulnerable packages in those affected applications are classified as having low threat. Moreover, we find that in the case of vulnerable packages classified as having high threat, it is the application's lack of updating that makes them vulnerable, i.e., it is not the existence of the vulnerability that is the real problem. Furthermore, we verify our findings at different stages of the application's lifetime and find that our findings still hold. Our study argues that when it comes to software vulnerabilities, things may not be as bad as they seem and that considering vulnerability threat is key.</p> <p><strong>THE PACKAGE CONTAINS THE FOLLOWING:</strong></p> <ol> <li>The data of the studied Node.js applications.</li> <li>The data of the npm vulnerable packages (advisories).</li> <li>The data of version releases for the npm vulnerable packages.</li> <li>The scripts used for analyzing the data.</li> </ol>
Data for paper: Fine scale infectious disease modeling using satellite-derived data: application to pandemic influenza in Rwanda
<p>Dataset used by code for the paper: Fine scale infectious disease modeling using satellite-derived data: application to pandemic influenza in RwandaFine scale infectious disease modeling using satellite-derived data: application to pandemic influenza in Rwanda</p>
Toward Emotionally Adaptive Virtual Reality for Mental Health Applications
<p>Dataset of self-report data of the research "Toward Emotionally Adaptive Virtual Reality for Mental Health Applications"</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.