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15,733 results for “article”
Dataset of article "Presence of SARS-CoV-2 Nucleoprotein in Cardiac Tissues of Donors with Negative COVID-19 Molecular Tests"
<p>The 2019 Coronavirus disease (COVID-19) outbreak had detrimental effects on essential medical services such as organ and tissue donation. Lombardy, one of the most active Italian regions in organ/tissue procurement, has been strongly affected by the COVID-19 pandemic. To date, data concerning the risk of SARS-CoV-2 transmission after tissue transplantation are controversial. Here, we aimed to evaluate the presence/absence of SARS-CoV-2 in different cardiac tissues eligible for transplantation obtained from Lombard donors. We used cardiovascular tissues from eight donors potentially suitable for pulmonary valve transplantation. All donor subjects involved in the study returned negative results for the SARS-CoV-2 RNA molecular tests (quantitative real-time reverse-transcription PCR, qRT-PCR, and chip-based digital PCR) in nasopharyngeal swabs (NPS) or bronchoalveolar lavage (BAL). None of the eight donors included in this study revealed the presence of the SARS-CoV-2 viral genome. However, evaluation of the protein content of pulmonary vein wall (PVW) tissue revealed variable levels of SARS-CoV-2 nucleoprotein signal in all donors. Our study demonstrated for the first time, to the best of our knowledge, that viral nucleoprotein but not viral RNA was present in the examined tissue bank specimens, suggesting the need for caution and in-depth investigations on implantable tissue specimens collected during the COVID-19 pandemic period.</p>
Metadata for article "Leaf rust (Puccinia triticina Eriks) resistance genes in wheat cultivars registered in the Czech Republic"
<p>Field and greenhouse phenotyping results for leaf rust virulence used in article "Metadata for article "Leaf rust (Puccinia triticina Eriks) resistance genes in wheat cultivars registered in the Czech Republic".</p>
Supplementary materials for article entitled 'Do languages spoken in multilingual communities converge? A case study of reflexivity marking in Mano and Kpelle', published in Linguistics
<p>See the publication for details</p>
Data related to the article "Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts<br>(Giovanni Pireddu*, Mirella Simoes Santos*, David Lambertin, Timothée Kooyman)<br><br>*:Equal contribution</p> <p>Journal of Nuclear Materials<br>DOI: https://doi.org/10.1016/j.jnucmat.2024.155124</p> <p>The folder EXAMPLE_INPUT_FILES contains typical MetalWalls(https://doi.org/10.21105/joss.02373) (repository(https://gitlab.com/ampere2/metalwalls)) input files used to perform the molecular simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot the figures of the paper (see below).</p> <p><br>Figure 2:<br>- 'Fig2_Density.dat' : density as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 3:<br>- 'Fig3_HCap.dat' : heat capacity as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 4:<br>- 'Fig4_Density.dat' : density as a function of temperature (ternary system, calculated from MD simulations)</p>
data: "titre article"
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Dataset related to article "Emerging Variants, Unique Phenotypes, and Transcriptomic Signatures in COASY-Associated Diseases"
<p>The database contains the raw data included in the article at title.</p>
Partial dataset related to the article "Structural and functional abnormalities of left-sided cardiac chambers in Barlow's disease without significant mitral regurgitation"
<p>This record contains raw data related to the article "Structural and functional abnormalities of left-sided cardiac chambers in Barlow’s disease without significant mitral regurgitation".</p> <p><strong>Aims </strong>This study aims to explore the presence of left ventricular (LV) and left atrial (LA) morphological and functional abnormalities in patients with Barlow’s disease (BD) without significant mitral regurgitation (MR) and to investigate whether these abnormalities may predict MR progression.<span> </span></p> <p><strong>Methods and results </strong>Consecutive patients with BD were retrospectively identified from two tertiary centres; those with MR graded from trivial to mild-to-moderate were selected and matched with healthy controls in a 1:1 ratio. Conventional and speckle-tracking echocardiographic data were collected. The development of moderate-to-severe or greater MR was evaluated on follow-up echocardiograms. Patients with BD (<em>n </em>= 231) showed increased LV dimensions and indexed LV mass (LVMi) in comparison with controls (<em>P </em>< 0.001); LV remodelling worsened with higher MR severity and was accompanied by an increased prevalence of eccentric LV hypertrophy (eLVH). Moreover, BD patients had larger LA volumes and more impaired LA reservoir strain vs. controls (<em>P </em>< 0.001), while LV strain was similar between the two groups. Multivariable linear regression analyses in the overall population identified BD and MR grade as independent predictors of remodelling markers (LV dimensions, LVMi, and LA volume) and BD as independent correlate of LA strain. MR progression was observed in 51 BD subjects (out of 170 patients with available follow-up). On Cox regression analysis, age, eLVH, mild-to-moderate MR, and mitral annular disjunction (MAD) emerged as independent predictors of MR progression.<span> </span></p> <p><strong>Conclusion </strong>BD patients without significant MR show early LV and LA remodelling, together with reduced LA strain. MR progression was associated with eccentric LV remodelling, MAD, and MR severity.<span> </span></p>
Table of the 78 articles that made up the final sample, how we inductively classified each of the articles, and the main findings of each work. (Not only Opportunity, but also Uncertainty: A systematic review of how entrepreneurship literature appropriates both constructs.)
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Article dataset: "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices"
<p>This dataset accompanies the study "Assessing inclusivity at Ukrainian universities during wartime: studentsʼ voices", which investigates the state of inclusivity in Ukrainian universities. This article examines the assessment of inclusivity by Ukrainian students in the context of war, emphasizing the crucial role of universities in supporting Sustainable Development Goals (SDGs), particularly SDG 4 aimed at ensuring quality education and promoting lifelong learning opportunities for all. In the context of warfare and its impact on the educational process, the article reveals how students overall assess the level of inclusivity and how students' assessment of inclusivity varies depending on the year of study and self-identification with vulnerable groups. The total number of university students who participated in the study was 4,389. Analyzing responses from the majority of students who perceive the university environment as highly inclusive, the study also identifies critical points where inclusivity measures could be improved, especially for students belonging to vulnerable groups, including those with disabilities and gender nonconforming individuals. </p> <p><strong>Contents of the dataset:</strong><br>1. Research program – a comprehensive outline of the research program detailing the study's objectives, methodology, and the analytical framework applied.<br>2. Survey questionnaire – the instrument employed to gather data from students, encompassing questions about their year of study and perceptions of inclusivity.<br>3. Raw responses – the unprocessed data obtained from 4,389 participants, including their anonymized answers to the survey questions.</p> <p><strong>Note: </strong>all data is presented in Ukrainian.</p> <p>Usage notes:<br>Researchers and practitioners are encouraged to use this dataset to further explore inclusivity in higher education, especially in contexts undergoing significant social and political transformations. Proper attribution should be given when using this dataset in any publication or presentation.</p> <p><strong>For any questions or additional information regarding this dataset, please contact:</strong></p> <p><strong>Dr. Yana Suchikova</strong><br>Vice-Rector for Research<br>Berdyansk State Pedagogical University, Ukraine <br>yanasuchikova@gmail.com</p>
Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"
<p>Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints", specifically included are water content data from 55 in situ observations for the years 2018-2020 (observation frequency of 5min or 10min), and example code for implementing LSTM and PIDL using python (mainly the tensorflow library).These data can help the reader to better understand and replicate our research. All the data and code has been uploaded. </p><p>The paper has been published in <i>Water Resources Research</i>, and the citation is: </p><p>Wang, Y., Wang, W., Ma, Z., Zhao, M., Li, W., Hou, X., et al. (2023). A deep learning approach based on physical constraints for predicting soil moisture in unsaturated zones. <i>Water Resources Research</i>,<i>59</i>, e2023WR035194. https://doi.org/10.1029/2023WR035194</p>
Dataset for article "Water activity: the key to unlocking high-voltage aqueous electrolytes?"
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Partial dataset related to the article "Sport PRactice and its Effects on aortic size and valve function in bicuspid Aortic valve Disease: a cross-sectional report from the SPREAD study".
<p>This record contains raw data related to the article "<span>Sport PRactice and its Effects on aortic size and valve function in bicuspid Aortic valve Disease: a cross-sectional report from the SPREAD study"</span></p> <p><span>The bicuspid aortic valve (BAV) is the most common congenital heart defect among adults, often leading to severe valve dysfunction and aortic complications. Despite its clinical significance, uncertainties persist regarding the impact of sports participation on the natural course of BAV disease. The SPREAD (Sport PRactice and its Effects on Bicuspid Aortic valve Disease) study is a multicenter and multinational project designed to investigate this relationship. This paper outlines the study's design, and objectives. The study is divided into two phases; phase one involves a cross-sectional analysis comparing aortic dimensions and valve function among competitive athletes with BAV, athletes with tricuspid aortic valves (TAV), and sedentary individuals with BAV. The second phase is a prospective, longitudinal follow-up aiming to evaluate the impact of regular sports training on disease progression. The SPREAD study seeks to provide evidence-based insights into the effects of sports participation on BAV disease progression, guiding clinical decision-making regarding sports eligibility and risk stratification for individuals with BAV.</span></p>
Dataset related to the article "Computational assessment of fibromuscular dysplasia-related renal artery stenosis: a feasibility study"
<p>The dataset contains:</p> <p>- a folder containing the 3D virtual models of the renal arteries used for the computational fluid dynamic simulations</p> <p>- an excel sheet containing the patient-specific boundary conditions used for the computational fluid dynamic simulations</p>
Dataset related to the article "Complete phenotype rescue through the restoration of full-length dystrophin using CRISPR/Cas9 genome editing in Duchenne muscular dystrophy patient-derived iPSCs carrying the deletion of two exons."
<p><span>This record contains raw data related to the article Dataset related to the article “Complete phenotype rescue through the restoration of full-length dystrophin using CRISPR/Cas9 genome editing in Duchenne muscular dystrophy patient-derived iPSCs carrying the deletion of two exons".</span></p> <p><span>Here we describe for the first time the restoration of the full-length dystrophin protein, by CRISPR/Cas9, in an iPSC derived from a Duchenne patient carrying the deletion of two exons, allowing the recovery of the cardiac pathological phenotypes and mechanisms, as assessed from the transcriptional, structural, and functional point of view.</span></p>
Dataset related to the article "Mechanical load protects the heart from cancer"
<p><span>This record contains raw data related to the article “Mechanical load protects the heart from cancer” </span></p> <p><span>Here, we </span><span>demonstrated that unloading promotes, while overloading reduces, the proliferation of cancer cells. Collectively, these results shed light on the mechanisms that protect the heart from cancer and pave the way to novel cancer therapies, based on the mechanical stimulation. </span></p>
Pyrrhic Press Articles 10.10.2024
<h3><strong>Pyrrhic Press Blog Articles Data XML Description</strong></h3> <p>This XML file contains a collection of metadata for articles published on Pyrrhic Press, an online platform dedicated to scholarly and professional content. The data structure includes fields such as the article title, publication URL, publication date, a brief lead or description of the content, and related metadata. Each article covers a range of topics, including business theories, education, artificial intelligence, organizational resilience, leadership, and industry-specific challenges.</p> <p>Key elements of the XML file:</p> <ul> <li><strong>Title</strong>: The title of each article.</li> <li><strong>Title URL</strong>: The direct link to the article on Pyrrhic Press.</li> <li><strong>Date & Time</strong>: The publication date and time of the article.</li> <li><strong>Lead</strong>: A brief summary or lead of the article content.</li> </ul> <p>This structured XML data is designed to facilitate the organization and retrieval of Pyrrhic Press articles for use in repositories, content management systems, and data integration efforts, making it a valuable resource for content indexing, metadata analysis, and automated content distribution.</p>
Datasets for the article "Redox melting of garnet lherzolite: Generation of carbonated silicate and sulfide melts and implications for OIB formation from chalcophile and redox-sensitive elements"
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Data Research Yusran Article MHS
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Dataset for the article 'Low CO2 mass transfer promotes methanol and formaldehyde electrosynthesis on cobalt phthalocyanine' (DOI: 10.1039/D4TA03531C)
<p>The dataset for the article 'Low CO2 mass transfer promotes methanol and formaldehyde electrosynthesis on cobalt phthalocyanine' </p> <p>(https://pubs.rsc.org/en/content/articlehtml/2024/ta/d4ta03531c)</p>
Molecular Dynamics simulation data for the article "Evolution of cation binding in the active sites of P-loop nucleoside triphosphatases in relation to the basic catalytic mechanism"
<p>Zipped archives with MD simulation data for the article "Evolution of cation binding in the active sites of P-loop nucleoside triphosphatases in relation to the basic catalytic mechanism" (eLife, accepted).</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.