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Dataset results
355 results for “Test Developer”
Data from: Logical validation and evaluation of practical feasibility for the SCRuM (School Clinical Rugby Measure) test battery developed for young adolescent rugby players in a resource-constrained environment
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Data from: Development of G: a test in an amphibious fish
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Data from: Synergism and antagonism of proximate mechanisms enable and constrain the response to simultaneous selection on body size and development time: an empirical test using experimental evolution
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Transcriptome of Nasonia vitripennis nymphal testes during development in control and heat-stressed conditions
GEO Series GSE160291. Nasonia vitripennis. 15 samples. Type: Expression profiling by high throughput sequencing.
Development of genetic quality tests for good manufacturing practice-compliant induced pluripotent stem cells and their derivatives
GEO Series GSE148517. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Development of a Cellular Assay as a Personalized Model for Testing Chronic Wound Therapeutics (NS18)
GEO Series GSE268638. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Transposon expression kinetics in Dnmt3L-/- developing testes [RNA-seq]
GEO Series GSE57745. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Testing the Ret and Sema3d genetic interaction in mouse enteric nervous system development
GEO Series GSE89627. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Development of Helicobacter pylori microarrays to test pathogenicity of clinical isolates
GEO Series GSE41497. Homo sapiens; Helicobacter pylori HPAG1; Helicobacter pylori P12; Helicobacter pylori 26695; Helicobacter pylori Shi470; Helicobacter pylori B38; Helicobacter pylori J99; Helicobacter pylori G27. 18 samples. Type: Expression profiling by array.
Development of a Cellular Assay as a Personalized Model for Testing Chronic Wound Therapeutics (NS79)
GEO Series GSE268639. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Developing human radiation biodosimetry models: Testing cross-species conversion approaches using an ex vivo model system
GEO Series GSE102971. Macaca mulatta; Homo sapiens. 167 samples. Type: Expression profiling by array.
Integrated analysis of miRNA and mRNA expression profiles in 2-, 6- and 12-month-old Small Tail Han Sheep testes to explore the regulation in testis development
GEO Series GSE107803. Ovis aries. 18 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
<p>The .xlsx dataset includes all patients used for training, internal-external and external validation: these can be distinguished by looking at the ID (first column) in the dataset: those in format Axxxx-<Date> are the data used for the training, those in the format 20xx are the data used for the internal-external validation, while the remaining data were used for external validation.</p> <p>As regards the features: for the Target feature the value 1 stands for "Positive to COVID-19" while the value 0 stands for "Negative to COVID-19"; while for the Sex feature the value 1 stands for "Male" while the value 0 stands for "Female".</p> <p>The full article is available at: https://www.degruyter.com/view/journals/cclm/ahead-of-print/article-10.1515-cclm-2020-1294/article-10.1515-cclm-2020-1294.xml.</p> <p>A pre-print version of the article is also available on MedrXiv: https://www.medrxiv.org/content/10.1101/2020.10.02.20205070v1</p> <p><strong>ABSTRACT</strong></p> <p><strong>Background</strong> The rRT-PCR test, the current gold standard for the detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage of reagents, false-negative rates around 15–20%, and expensive equipment. The hematochemical values of routine blood exams could represent a faster and less expensive alternative. </p> <p><strong>Methods</strong> Three different training data set of hematochemical values from 1,624 patients (52% COVID-19 positive), admitted at San Raphael Hospital (OSR) from February to May 2020, were used for developing machine learning (ML) models: the complete OSR dataset (72 features: complete blood count (CBC), biochemical, coagulation, hemogasanalysis and CO-Oxymetry values, age, sex and specific symptoms at triage) and two sub datasets (COVID-specific and CBC dataset, 32 and 21 features respectively). 58 cases (50% COVID-19 positive) from another hospital, and 54 negative patients collected in 2018 at OSR, were used for internal-external and external validation.</p> <p><strong>Results</strong> We developed five ML models: for the complete OSR dataset, the area under the receiver operating characteristic curve (AUC) for the algorithms ranged from 0.83 to 0.90; for the COVID-specific dataset from 0.83 15 to 0.87; and for the CBC dataset from 0.74 to 0.86. The validations also achieved good results: respectively, AUC 16 from 0.75 to 0.78; and specificity from 0.92 to 0.96. </p> <p><strong>Conclusions</strong> ML can be applied to blood tests as both an adjunct and alternative method to rRT-PCR for the fast and cost-effective identification of COVID-19-positive patients. This is especially useful in developing countries, or in countries facing an increase in contagions.</p>
Development of Chemical Categories for Per- and Polyfluoroalkyl Substances (PFAS) and the Proof-of-Concept Approach to the Identification of Potential Candidates for Tiered Toxicological Testing and Human Health Assessment
<p>Supplementary information for the manuscript and raw data files underpinning the analysis are available here as compressed tar files. </p> <p>Please cite: Patlewicz G., Judson R., Williams A. J., Butler T., Barone Jr. S ., Carstens K. E., Cowden J., Dawson J. L., Degitz S. , Fay K., Henry T. R., Lowit A., Padilla S., Paul Friedman K., Phillips M. B., Turk D., Wambaugh J., Wetmore B., Thomas R.S. Development of Chemical Categories for Per- and Polyfluoroalkyl Substances (PFAS) and the Proof-of-Concept Approach to the Identification of Potential Candidates for Tiered Toxicological Testing and Human Health Assessment. <em>Computational Toxicology</em> <strong>2024</strong> <a href="https://doi.org/10.1016/j.comtox.2024.100327" rel="nofollow">https://doi.org/10.1016/j.comtox.2024.100327</a></p>
Data from: Development and usability testing of an audit and feedback tool for anesthesiologists
Background: We describe the creation and evaluation of a personal audit & feedback (A&F) tool for anesthesiologists. Methods: A survey aimed at capturing barriers for personal improvement efforts and feedback preferences was administered to attending anesthesiologists. The results informed the design and implementation of 4 dashboards that display information on individual practice characteristics as well as comparative performance on several quality metrics. The dashboards' usability was then tested using the human-centered design framework. Results: Anesthesiologists listed lack of information on current practice as the main barrier for improvement. Regarding usability, participants gave the dashboards an average score of 3.8 (scale 1-5) on consistency, learnability, and information organization, and performed the assigned tasks well, with an average score of 89% (range, 79-100%). Conclusions: We describe the design, implementation and usability testing of an innovative tool that utilizes data derived from the EHR system to provide A&F to anesthesiology providers.
Development of a MID for the 1-minute Sit-to-stand Test
ClinicalTrials.gov study NCT02708719. IPD Sharing: NO. Countries: 1. Publications: 0.
Developing and Testing the Jenga Dada Intervention in Kenya
ClinicalTrials.gov study NCT06414070. IPD Sharing: YES. Countries: 1. Publications: 0.
Developing and Testing Waterpipe-specific Health Warning Labels
ClinicalTrials.gov study NCT05317663. IPD Sharing: NO. Countries: 1. Publications: 0.
Development and Evaluation of a New Diagnostic Test in Female Urinary Stress Incontinence
ClinicalTrials.gov study NCT01563653. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Developing and Examining Evidenced-Based HIV Testing Messages
ClinicalTrials.gov study NCT03433053. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.