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.
133
datasets available to search
ShareScore release 0.9.0
Dataset results
133 results for “quantitative methods”
Quantitative CBF values across different off-resonance correction methods used in 7T PCASL
<p>The data correspond to the underlying plots depicted in Figure 7 of the paper titled 'Dynamic B0 field shimming for improving pseudo-continuous arterial spin labeling at 7 Tesla'."</p>
Quantitative Methods in Archaeology - Data
<p>Data used in the practical section of Quantitative Methods in Archaeology.</p> <p>These are needed to follow along with the slides: <a href="https://doi.org/10.5281/zenodo.7534698">https://doi.org/10.5281/zenodo.7534698</a></p> <p>Unfortunately, the data I used in the course are assigned a license that requires me to use the same license when sharing, hence the data are in a separate repository from the slides. The data were originally obtained from the <strong>archdata</strong> R package.</p> <p>The data were 'messified' to teach how to clean the data in R.</p> <p><strong>House Pits Missouri.csv</strong> requires manual cleaning.</p> <p><strong>house_pits_cleaned.csv</strong> can be imported directly in R.</p>
Study on a quantitative method for determining mixing proportion of transparent cemented soil for visual geotechnical model tests
<p>An effective mixing of transparent cemented soil is necessary for visual geotechnical model tests, so a quantitative method for determining mixing proportion of transparent cemented soil was generated in this paper. Firstly, quartz sand, Nanoscale silica powder and N-dodecane mixed 15# white oil were selected as the raw materials, and a series of orthogonal experiments were designed. Concurrently, the main physical and mechanical parameters (volumetric weight γ, internal friction angle φ, cohesion c) of transparent cemented soil were measured, caused by the change of "particle size of quartz sand" and " mass ratios between fumed silica and fused quartz". Subsequently, multiple linear regression equations of various physical and mechanical parameters (γ, φ, c) were obtained by fitting the original test data. Finally, the rationality of multiple linear regression equations was proved. The research results indicated: (1) the volumetric weight changes from 16.13kN/m<sup>3</sup> to 12.53kN/m<sup>3</sup>, the Internal friction angle is between 27.07° and 14.82°, and the cohesion varies from 31kPa to 2.3kPa, the parameters meet the similar requirements of the surrounding rock (grade ⅳ and ⅴ) and clay; (2) The values of Multiple R values (all greater than 0.88) and the Significance F value (all close to 0) proves the three regression equations were valid; (3) Combining the three regression equations and particle size of quartz sand, the mass ratio between fumed silica and fused quartz and geometry similarity constant were solved. All the conclusions mentioned could provide theoretical support and data reference for transparent soil model test implementation.</p>
Veteran-Centered Outcomes Using Qualitative and Quantitative Methods
ClinicalTrials.gov study NCT00333580. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Quantitative MR Methods for Lipid Emulsions
ClinicalTrials.gov study NCT02226029. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Simultaneaous Detection of Quantitative Somatic Alterations Using the Qantitative Multiplex Pcr of Short Fluorescent Fragments Method (QMPSF) in Stage II-III Colon Cancer: a Prospective Study
ClinicalTrials.gov study NCT02110329. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Methods for the quantitative comparison of molecular estimates of clade age and the fossil record
Open the record for dataset details and reuse information.
Efficient weighting methods for genomic best linear unbiased prediction (BLUP) adaption to the genetic architectures of quantitative traits
Open the record for dataset details and reuse information.
Quantitative and qualitative methods complementing: Bridging modelling and policy-making efforts to realise the European bioeconomy
Open the record for dataset details and reuse information.
Study on a quantitative method for determining mixing proportion of transparent cemented soil for visual geotechnical model tests
Open the record for dataset details and reuse information.
Data from: A quantitative method for inferring locomotory shifts in amniotes during ontogeny, its application to dinosaurs, and its bearing on the evolution of posture
Open the record for dataset details and reuse information.
LILBID laser dissociation curves: a mass spectrometry-based method for the quantitative assessment of dsDNA binding affinities
<p>The data and data analysis scripts in this dataset are referenced in the manuscript, "LILBID laser dissociation curves: a mass spectrometry-based method for the quantitative assessment of dsDNA binding affinities", which is in preparation for publication. The contents of this dataset are as follows:</p> <p>1) raw data from UV melting curves<br> 2) settings, concentrations, and both raw and processed data from ITC experiments<br> 3) raw spectrum and imaging data from qLILBID experiments<br> 4) programming scripts used to process the qLILBID data</p> <p><em>Notes on the ITC data:</em><br> <em>The iTC200 microcalorimeter (Malvern Panalytical, Malvern, UK) used in the ITC experiments produces .itc files to be opened and analyzed in Origin (Originlab, Northampton, MA, US) using an add-on. The resulting Origin files, including data interpretation and figures, are provided here. Raw data and interpreted data have been gathered from the .itc files and the Origin files and assembled into tab-separated .dat files, so that the data are also accessible to users who do not have Origin.</em></p> <p><em>The Origin files can be understood as follows. After data collection, the ITC raw data are loaded into the Origin-based software. Initially, the baseline is created (Data1Coeff worksheet) and the data plotted in µcal/second as a function of time (minutes), shown in the mRawITC (graph) and the Data1RAW (data) windows. The peaks are integrated (area in µcal) and then plotted in units of kcal/mole of injectant as a function of molar ratio (injected ligand per molecule in the cell), shown in the DeltaH window. The first injection is negligible and therefore always deleted. According to the data points in the DeltaH window, a curve is fitted to obtain the molar ratio (N), Ka, ΔH and ΔS, the data is shown in the Data1 worksheet. The Data1 worksheet hereby contains the following information: DH: heat change resulting from the given injection (µcal/injection); INJV: volume of the injection; Xt: concentration of injected ligand in the cell before next injection; Mt: concentration of molecule in the cell before next injection; volume corrected; XMt: molar ratio of ligand per molecule in the cell after the injection as displayed in the DeltaH window; NDH: Normalized DH in kcal/moles of injectant as displayed in the DeltaH window, Fit: data points of the fitted curve. In the end, the results are presented in the ITCFINAL window (final figure). Additional information can be found in the MicroCal iTC200 System User Manual.</em></p> <p><em>The same data labeling system has been used for the tab-separated .dat files.</em></p>
Figure 6 from: Sharmin S, Sohrab MH, Moni F, Afroz F, Rony SR, Akhter S (2020) Simple RP-HPLC method for Aceclofenac quantitative analysis in pharmaceutical tablets. Pharmacia 67(4): 383-391. https://doi.org/10.3897/pharmacia.67.e57981
Figure 6 Robustness Study (a) Variance of peak area for change in different method parameters with %RSD; (b) Variance of Retention time for change in different method parameters with %RSD. *Method was robust for change in pH of mobile phase (±0.5), wavelength (±3 nm) and column temperature (±3 °C).
Data from: CLIP test: a new fast, simple and powerful method to distinguish between linked or pleiotropic quantitative trait loci in linkage disequilibria analysis
An important question arises when mapping quantitative trait loci (QTLs) for genetically correlated traits: is the correlation due to pleiotropy (a single QTL affecting more than one trait) and/or close linkage (different QTLs that are physically close to each other and influence the traits)? In this article, we propose the Close Linkage versus Pleiotropism (CLIP) test, a fast, simple and powerful method to distinguish between these two situations. The CLIP test is based on the comparison of the square of the observed correlation between a combination of apparent effects at the marker level to the minimal value it can take under the pleiotropic assumption. A simulation study was performed to estimate the power and alpha risk of the CLIP test and compare it to a test that evaluated whether the confidence intervals of the two QTLs overlapped or not (CI test). On average, the CLIP test showed a higher power (68%) to detect close-linked QTLs than the CI test (43%) and a same alpha risk (4%).
Data from: Penalized Multi-Marker versus Single-Marker Regression methods for genome-wide association studies of quantitative traits
The data from genome-wide association studies (GWAS) in humans are still predominantly analyzed using single marker association methods. As an alternative to Single Marker Analysis (SMA), all or subsets of markers can be tested simultaneously. This approach requires a form of Penalized Regression (PR) as the number of SNPs is much larger than the sample size. Here we review PR methods in the context of GWAS, extend them to perform penalty parameter and SNP selection by False Discovery Rate (FDR) control, and assess their performance in comparison with SMA. PR methods were compared with SMA using realistically simulated GWAS data with a continuous phenotype and real data. Based on these comparisons our analytic FDR criterion may currently be the best approach to SNP selection using PR for GWAS. We found that PR with FDR control provides substantially more power than SMA with genome-wide type-I error control but somewhat less power than SMA with Benjamini-Hochberg FDR control (SMA-BH). PR with FDR based penalty parameter selection controlled the FDR somewhat conservatively while SMA-BH may not achieve FDR control in all situations. Differences among PR methods seem quite small when the focus is on SNP selection with FDR control. Incorporating linkage disequilibrium into the penalization by adapting penalties developed for covariates measured on graphs can improve power but also generate more false positives or wider regions for follow-up. We recommend the Elastic Net with a mixing weight for the Lasso penalty near 0.5 as the best method.
Data from: Integrating quantitative morphological and qualitative molecular methods to analyze soil nematode community responses to plant range expansion
1. Belowground nematodes are important for soil functioning, as they are ubiquitous and operate at various trophic levels in the soil food web. However, morphological nematode community analysis is time consuming and requires ample training. qPCR-based nematode identification techniques are well available, but high throughput sequencing (HTS) might be more suitable for non-targeted nematode community analysis. 2. We compared effectiveness of qPCR and HTS-based approaches with morphological nematode identification while examining how climate warming-induced plant range expansion may influence belowground nematode assemblages. We extracted nematodes from soil of Centaurea stoebe and C. jacea populations in Slovenia, where both plant species are native, and Germany, where C. stoebe is range expander and C. jacea is native. Half of each nematode sample was identified morphologically and the other half was analysed using targeted qPCR and a novel HTS approach. 3. HTS produced the highest taxonomic resolution of the nematode community. Nematode taxa abundances correlated between the methods. Therefore, especially relative HTS and relative morphological data revealed nearly identical ecological patterns. All methods showed lower numbers of plant feeding nematodes in rhizosphere soils of C. stoebe compared to C. jacea. However, a profound difference was observed between absolute and relative abundance data; both sampling origin and plant species affected relative abundances of bacterivorous nematodes, whereas there was no effect on absolute abundances. 4. Taken together, as HTS correlates with relative analyses of soil nematode communities, while providing highest taxonomic resolution and sample throughput, we propose a combination of HTS with microscopic counting to supplement important quantitative data on soil nematode communities. This provides the most cost-effective, in-depths methodology to study soil nematode community responses to changes in the environment. This methodology will also be applicable to nematode analyses in aquatic systems.
A Streamlined and High-Throughput Error-Corrected Next-Generation Sequencing Method for Low Variant Allele Frequency Quantitation
<p></p><p>Quantifying mutant or variable allele frequencies (VAFs) of ≤10−3 using next-generation sequencing (NGS) has utility in both clinical and nonclinical settings. Two common approaches for quantifying VAFs using NGS are tagged single-strand sequencing and duplex sequencing. While duplex sequencing is reported to have sensitivity up to 10−8 VAF, it is not a quick, easy, or inexpensive method. We report a method for quantifying VAFs that are ≥10−4 that is as easy and quick for processing samples as standard sequencing kits, yet less expensive than the kits. The method was developed using PCR fragment-based VAFs of Kras codon 12 in log10 increments from 10−5 to 10−1, then applied and tested on native genomic DNA. For both sources of DNA, there is a proportional increase in the observed VAF to input VAF from 10−4 to 100% mutant samples. Variability of quantitation was evaluated within experimental replicates and shown to be consistent across sample preparations. The error at each successive base read was evaluated to determine if there is a limit of read length for quantitation of ≥10−4, and it was determined that read lengths up to 70 bases are reliable for quantitation. The method described here is adaptable to various oncogene or tumor suppressor gene targets, with the potential to implement multiplexing at the initial tagging step. While easy to perform manually, it is also suited for robotic handling and batch processing of samples, facilitating detection and quantitation of genetic carcinogenic biomarkers before tumor formation or in normal-appearing tissue.</p><p></p>
Supplementary Tables Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars using High Resolution Imaging Science Experiment Images
<p>Data describing the list of images, error and uncertainty calculations for Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars using High Resolution Imaging Science Experiment Images.</p>
Utilizing Qualitative and Quantitative Methods to Understand a New Model of Type 1 and 2 Systemic Lupus Erythematosus (SLE)
ClinicalTrials.gov study NCT05426902. IPD Sharing: NO. Countries: 1. Publications: 0.
Anxiety in Parkinson's: Use of Quantitative Methods to Guide Rational Treatment
ClinicalTrials.gov study NCT02365870. IPD Sharing: NO. 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.