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376
datasets available to search
ShareScore release 0.9.0
Dataset results
376 results for “scalable”
Scalable Communication Modalities for Returning Genetic Research Results
ClinicalTrials.gov study NCT04407611. IPD Sharing: NO. Countries: 1. Publications: 1.
ModuLAAr - A Module Based and Scalable System for Silver-ager in Austria
ClinicalTrials.gov study NCT02130102. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Optimizing the Scalability of Evidence-Based Behavioral Sleep Medicine Practices With a Digital Health Platform
ClinicalTrials.gov study NCT04366284. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Handoffs and Transitions in Critical Care - Understanding Scalability
ClinicalTrials.gov study NCT04571749. IPD Sharing: NO. Countries: 1. Publications: 1.
Digital Narrative Bibliotherapy as a Scalable Intervention for Suicidal Thoughts
ClinicalTrials.gov study NCT05351645. IPD Sharing: YES. Countries: 1. Publications: 35.
Design, Implementation and Evaluation of Scalable Decision Support for Diabetes Care
ClinicalTrials.gov study NCT04928248. IPD Sharing: NO. Countries: 1. Publications: 1.
Lifestyle Program (Scalable Nutrition and Physical Activity) for the Improvement of Nutrition and Physical Activity in Stage 0-III Breast Cancer Survivors
ClinicalTrials.gov study NCT04200482. IPD Sharing: NO. Countries: 1. Publications: 2.
Development of a Nationally Scalable Model of Group Prenatal Care to Improve Birth Outcomes: "Expect With Me"
ClinicalTrials.gov study NCT02169024. IPD Sharing: NO. Countries: 1. Publications: 3.
Personalized and Scalable Cognitive Remediation Approaches
ClinicalTrials.gov study NCT01945333. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Testing the Efficacy of A Scalable, Telephone-Delivered, Guided Imagery Tobacco Cessation Intervention
ClinicalTrials.gov study NCT05277831. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Testing Scalable Caregiver Interventions for Autism
ClinicalTrials.gov study NCT07259044. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Initial Assessment of the Feasibility and Efficacy of a Scalable Digital CBT for Generalized Anxiety and Associated Health Behaviors in a Cardiovascular Disease Population
ClinicalTrials.gov study NCT04895995. IPD Sharing: NO. Countries: 1. Publications: 1.
Sustaining the Reach of a Scalable Weight Loss Intervention Through Financial Incentives
ClinicalTrials.gov study NCT04225234. IPD Sharing: NO. Countries: 1. Publications: 1.
A Scalable, Community-based Program for War and Refugee Trauma
ClinicalTrials.gov study NCT05890482. IPD Sharing: YES. Countries: 1. Publications: 1.
Testing a Scalable Model of Care to Improve Patients Access to Mental Health Services After Traumatic Injury
ClinicalTrials.gov study NCT05497115. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: A rapid and scalable method for multilocus species delimitation using Bayesian model comparison and rooted triplets
Open the record for dataset details and reuse information.
Replication Package for: Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures
<p>This repository contains a replication package and experimental results for our study on <em>Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures</em>.</p> <p>It features the presented implementations with Kafka Streams, tools for load generation and data collection, scripts for executing the presented evaluations as well as our raw results and script for analysis. A detailed description is given in the top-level README.md file.</p>
Dataset for Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice
<p>The dataset consists of</p> <p>(1) Benchmark files<br> (2) the logfile (outputs) generated by ApproxMC4 and ApproxMC5 respectively</p> <p>(3) A summary of the results for the files where at least one of ApproxMC4 or ApproxMC5 did not time out and took more than 1 second. </p> <p>The corresponding paper titled "Scalable Approximate Model Counting via Concentrated Hashing]{Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice" will appear in the Proceedings of Logic in Computer science(LICS), 2020.</p>
Supporting data for the manuscript "metaFlye: scalable long-read metagenome assembly using repeat graphs"
<p>Genome assemblies, simulated datasets and evaluations described in the manuscript "metaFlye: scalable long-read metagenome assembly using repeat graphs".</p>
Data from: A virtual molecular tumor board platform to improve efficiency and scalability of delivering precision oncology to physicians and their patients
OBJECTIVES: Scalable informatics solutions that provide molecularly-tailored treatment recommendations to clinicians are needed to streamline Precision Oncology in care settings. MATERIALS AND METHODS: We developed a cloud-based virtual molecular tumor board (VMTB) platform that included a knowledgebase, scoring model, rules engine, an asynchronous virtual chat room and a reporting tool that generated a treatment plan for each of the 1725 patients based on their molecular profile, previous treatment history, structured trial eligibility criteria, clinically relevant cancer gene-variant assertions, biomarker-treatment associations, and current treatment guidelines. The VMTB systematically allows clinician users to combine expert-curated data and structured data from clinical charts along with molecular testing data to develop consensus on treatments, especially those that require off-label and clinical trial considerations. RESULTS: The VMTB was used as part of the cancer care process for a focused subset of 1725 patients referred by advocacy organizations wherein resultant personalized reports were successfully delivered to treating oncologists. Median turnaround time from data receipt to report delivery decreased from 14 days to 4 days over 4 years while the volume of cases increased nearly twofold each year. Using a novel scoring model for ranking therapy options, oncologists chose to implement the VMTB-derived therapies over others, except when pursuing immunotherapy options without molecular support. DISCUSSION: VMTBs will play an increasingly critical role in precision oncology as the compendium of biomarkers and associated therapy options available to a patient continues to expand. CONCLUSION: Further development of such clinical augmentation tools that systematically combine patient-derived molecular data, real world evidence from electronic health records, and expert curated knowledgebases on biomarkers with computational tools for ranking best treatments can support care pathways at point of care.
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.