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8,038
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ShareScore release 0.9.0
Dataset results
8,038 results for “Validity”
Validation of the PROFFIT questionnaire to assess financial toxicity in Italian cancer patients. A cross-sectional study.
<p>Data for validation analysis of the PROFFIT instrument to measure financial toxicity of cancer</p>
Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"
<p>Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"</p>
FIGURE 2 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 2. Apical sternum (S6) of Anthidium melanopygum (left) and A. spiniventre (right).
Bermuda Atlantic Time-Series Study (BATS) Bottle Validation
<p>This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ </p><p>The BATS Bottle Validation (bval_bottle) dataset is a collection of discrete bottle samples from 1991-2022, including in-situ measurements of CO2, nutrients, carbon, oxygen, temperature, and Prochlorococcus and Synechococcus abundance. Note all bottle fires are included that do not have any BATS core parameters so as to be of use for other ancillary measurements. No data was provided for Particulate Biogenic Silica or Particulate Lithogenic Silica, so those variables were not included in this dataset. </p><p>This description has been reproduced using https://www.dropbox.com/s/2vutjrt5ce9t5qx/bval_bottle.txt?dl=0</p>
Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns
<p>The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): </p><p>"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"</p><p>Abstract:</p><p>Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.</p>
Figure 5 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 5. – Mean values of STM and STA in Engraulis encrasicolus from October 2007 to May 2008. A: Seminiferous tubules number (counted under 10x magnification). B: Seminiferous tubules area (mm2) (measured on the basis of 25 tubules). Data are represented as Mean ± SEM (values indicate the monthly average number of repetitions).
Figure 2 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 2. – Mean values of Gonadosomatic Index percentage (GSI) in Engraulis encrasicolus male at different gonadal maturity stages (I to V). Data are represented as Mean ± SEM. Different letters indicate significant differences (ANOVA with Tukey's post-hoc test, p <0.05).
Figure 3 in Seminiferous tubule number and surface: validation of objective parameters to estimate reproduction activity of male European anchovy (Engraulis encrasicolus, L.)
Figure 3. – Mean values of STM and STA in Engraulis encrasicolus according to the gonad maturity stages (I to V). A: Seminiferous tubules number (counted under 10x magnification). B: Seminiferous tubules area (mm2) (measured on the basis of 25 tubules). Data are represented as Mean ± SEM. Different letters indicate significant differences (ANOVA with Tukey's post-hoc test, p <0.05).
Serologic Assay Validation and Proficiency Testing of HIL-214 in Adults
ClinicalTrials.gov study NCT05972733. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Validation Study of MR Lymphangiography Using SPIO, a New Lymphotropic Superparamagnetic Nanoparticle Contrast
ClinicalTrials.gov study NCT00147238. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Functional Dyspepsia: Validation of a Questionnaire for Symptom Assessment in FD PDS Subgroup
ClinicalTrials.gov study NCT04647955. IPD Sharing: NO. Countries: 0. Publications: 1.
Development and Validation of a Dementia Life Expectancy Tool
ClinicalTrials.gov study NCT06266325. IPD Sharing: NO. Countries: 0. Publications: 1.
Spot-Check Noninvasive Hemoglobin (SpHb) Clinical Validation of INVSENSOR00026
ClinicalTrials.gov study NCT03610269. IPD Sharing: NO. Countries: 1. Publications: 0.
Validation of the Performance of the Electrocardiogram (ECG) Function in the Masimo INVSENSOR00057
ClinicalTrials.gov study NCT06071754. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pivotal Study for Validation of Philips Dx (PDx)
ClinicalTrials.gov study NCT02529137. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Incidence, Predictors and Validation of Risk Scores to Predict Myocardial Infarction After Noncardiac Vascular Surgery
ClinicalTrials.gov study NCT04051749. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Clinical Validation of Biofinity Toric MTO (Made To Order) Lenses
ClinicalTrials.gov study NCT02185105. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Small Volume Blood Testing Validity and Acceptability for HIV-1 and Hepatitis B (TINIES for BBVs)
ClinicalTrials.gov study NCT05690607. IPD Sharing: UNDECIDED. Countries: 0. Publications: 13.
Desaturation Validation of INVSENSOR00031
ClinicalTrials.gov study NCT03783780. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pilot Validation of a Hemodilution Technique to Estimate Blood Volume in Vivo
ClinicalTrials.gov study NCT03031600. IPD Sharing: NO. Countries: 0. Publications: 15.
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.