Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
939
datasets available to search
ShareScore release 0.9.0
Dataset results
939 results for “Validation studies”
A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases [study of 13 diseases]
GEO Series GSE123086. Homo sapiens. 166 samples. Type: Expression profiling by array.
DNA methylation analysis validates organoids as a viable model for studying human intestinal aging (methylation)
GEO Series GSE141254. Homo sapiens. 84 samples. Type: Methylation profiling by array.
Independent validation of circulating microRNAs as biomarkers in a case-control study of adolescents with type 1 diabetes for more than 8 years
GEO Series GSE315292. Homo sapiens. 48 samples. Type: Expression profiling by RT-PCR.
Retinal organoids provide a suitable tool for toxicological drug screening – a comprehensive study validating well-known drug effects on retinal organoids
GEO Series GSE172138. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Prognostic value of SPODD1 in esophageal squamous cell carcinoma: a comprehensive study based on bioinformatics and validation
GEO Series GSE194116. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Gene expression signatures predict outcome in non-muscle invasive bladder carcinoma - a multi-center validation study
GEO Series GSE5479. Homo sapiens. 808 samples. Type: Expression profiling by array.
Validation Study for Candidate AD miRNA Biomarkers in Human CSF
GEO Series GSE212623. Homo sapiens. 130 samples. Type: Expression profiling by RT-PCR; Non-coding RNA profiling by array.
Figure 8 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 8 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.
Figure 4 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 4 Linearity on profiles of dissolution test at pH 4.5.
Figure 7 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 7 In vitro dissolution profiles of amlodipine at pH 4.5 mean ± SD, n = 3.
Figure 5 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 5 Linearity on profiles of dissolution test at pH 6.8.
Figure 3 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 3 Linearity on profiles of dissolution test at pH 1.2.
Figure 1 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 1 The chemical structure of amlodipine.
Figure 6 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 6 In vitro dissolution profiles of amlodipine at pH 1.2 mean ± SD, n = 3.
Figure 9 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 9 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.
Replication Package for "On Conclusion Validity of Empirical SE-studies with Sentiment Analysis Tools: Is Platform-Specific Retraining Enough?"
<p>This is the replication package for the paper "On Conclusion Validity of Empirical SE-studies with Sentiment Analysis Tools: Is Platform-Specific Retraining Enough?"</p>
The COPSOQ III Greek validation study
<p>This information are supplementary to the manuscript: "<span lang="EN-GB">A Validation Study of the COPSOQ III Greek Questionnaire for Assessing Psychosocial Factors in the Workplace</span>".</p>
Figure 2 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 2 Calibration plot of nifedipine in plasma.
Dataset related to article "Apparent Diffusion Coefficient standardization: multi-center and multi-vendor validation study across 1.5T and 3T scanners in a diffusion MRI phantom"
<p>The dataset includes ADC measurements collected for MRI harmonisation across centers and vendors, performed as part of the multicenter RESPECT project, using the QIBA-NIST diffusion MRI phantom.</p> <p>The dataset includes the following sheets:</p> <p>"ADC" sheet: ADC measurements (averaged over 4 repeated measures) for each scanner, comprising both first and second acquisition and 3 imaging planes. </p> <p>"temperature" sheet: temperature measurement of the phantom for each acquisition session.</p> <p>"repeatability" sheet: ADC measurements of the 4 repeated measures for the first acquisition. Average values and CVs are also reported.</p>
Supplementary Website, Data, and Scripts for the Paper "Automatic Core-Developer Identification on GitHub: A Validation Study"
<p>Supplementary website containing result plots, pseudonymized input data, resulting pseudonymized classification data, analysis scripts, and Dockerfile used to produce the results of the paper "Automatic Core-Developer Identification on GitHub: A Validation Study".</p> <p>The pseudonymized input data is also availble separately here: https://zenodo.org/record/7775078</p> <p>The resulting pseudonymized classification data is also available separately here: https://zenodo.org/record/7775385</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.