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288
datasets available to search
ShareScore release 0.9.0
Dataset results
288 results for “Method Development”
Modulating the transcriptional landscape of SARS-CoV-2 as an effective method for developing antiviral compounds
GEO Series GSE154613. Homo sapiens. 66 samples. Type: Expression profiling by high throughput sequencing.
Development of diagnosis method for LTBI with circulating miRNA
GEO Series GSE149645. Homo sapiens. 32 samples. Type: Non-coding RNA profiling by high throughput sequencing.
DNA-based cell typing in menstrual effluent identifies cell type variation by sample collection method: toward noninvasive biomarker development for women’s health
GEO Series GSE275888. Homo sapiens. 40 samples. Type: Methylation profiling by array.
Replication Package for the Paper: "A Machine Learning Based Ensemble Method for Automatic Classification of Decisions: A Study of the Hibernate Developer Mailing List"
<p>This is the replication package for the paper: "A Machine Learning Based Ensemble Method for Automatic Classification of Decisions: A Study of the Hibernate Developer Mailing List". It contains the source code and dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package below.</p> <p><strong>1. code folder</strong></p> <ul> <li><em>experiment.py </em>contains the source code for our experiment, which is conducted on Windows 10 and Python 3.7.0. <strong>Note that you may get slightly</strong> <strong>different experiment results when conducting the experiments on different environment configurations.</strong></li> <li><em>requirement.txt</em> records all the installation packages and their version numbers needed for the current program to run. You can use "<em>pip install -r requirement.txt</em>" to rebuild the project and install all dependencies. <strong>Note that you may get slightly different experiment results when using different packages or versions. </strong></li> </ul> <p><strong>2. dataset folder</strong></p> <ul> <li><em>decisions.xlsx </em>contains 844 labelled sentence-level decisions from the Hibernate developer mailing list.</li> </ul>
Replication Package for the Paper:Empirical Research on Secure Development in Agile Methods: A Systematic Literature Review
Open the record for dataset details and reuse information.
Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study.
<p>Magon A, Conte G, Arrigoni C, Dellafiore F, de Maria M, Pittella F, Rocco G, Stievano A, Ghizzardi G, Caruso R. Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study. Semin Oncol Nurs. 2022 Nov 18:151367. doi: 10.1016/j.soncn.2022.151367. Epub ahead of print. PMID: 36411124.</p> <p>Abstract</p> <p><strong>Objective: </strong>Assessing nursing self-efficacy could be strategic to sustain nursing competence. This study aimed to develop and validate the nursing self-efficacy scale for managing cancer treatment-induced cardiotoxicity (NSS-CTC).</p> <p><strong>Data sources: </strong>An exploratory mixed-method study was performed by including two main phases. The first comprised the developmental tasks to generate the initial pool of items, including a literature review and a consensus meeting based on a nominal group technique. The second phase initially involved an external panel of experts in assessing the content validity of the novel scale, followed by a cross-sectional data collection to perform exploratory factor analysis by employing a multicenter and convenience sampling approach. The most plausible psychometric structure derived from the exploratory factor analysis was tested with a confirmatory factor analysis using a second data collection round on another sample enrolled with a multicenter and convenience sampling approach. Internal consistency was assessed using Cronbach's alfa.</p> <p><strong>Conclusion: </strong>The NSS-CTS is a novel 15-item self-report measure for assessing nurse self-efficacy in dealing with cancer treatment-related cardiotoxicity. Its two plausible domains were labeled knowledge-related self-efficacy (Cronbach's α = 0.924) and practice-related self-efficacy (Cronbach's α = 0.937); the factor analyses in both samples showed adequate fit to sample statistics. Future studies are necessary to corroborate its construct validity and assess its measurement invariance across various country contexts.</p> <p><strong>Implications for nursing practice: </strong>Assessing nursing self-efficacy for managing cancer treatment-induced cardiotoxicity is a promising approach for identifying educational gaps and promoting nursing competency in this particular area of cancer care.</p>
dataset relate to article "Development and Validation of a UHPLC–MS/MS-Based Method to Quantify Cenobamate in Human Plasma Samples"
<p><strong>cenobamate blood concentrations measured via new method</strong></p>
Development of a Data Assimilation Method Using Vibration Equation for Large-Eddy Simulations of Turbulent Boundary Layer Flows
<p>The dataset shown in the following manuscript is made.</p> <p>Development of a Data Assimilation Method Using Vibration Equation for Large-Eddy Simulations of Turbulent Boundary Layer Flows</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.