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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,021 datasets
MetaDilutionR is an open-source R package that standardizes dilution optimization for untargeted metabolomics. The associated dataset, shared by Keerthana Vinod Kumar on figshare in June 2026, contains outputs from the tool's systematic evaluation of electrospray ionization linearity using plasma as a model. It includes log2-transformed data, summaries of linear features with optimal dilution ranges, and visual regression plots to enhance quantification reproducibility.
MetaDilutionR is an open-source R package that standardizes dilution optimization for untargeted metabolomics. The associated dataset, shared by Keerthana Vinod Kumar on figshare in June 2026, contains outputs from the tool's systematic evaluation of electrospray ionization linearity using plasma as a model. It includes log2-transformed data, summaries of linear features with optimal dilution ranges, and visual regression plots to enhance quantification reproducibility.
An Excel dataset from the MetaDilutionR R package, which provides data-driven determination of optimal plasma dilution for untargeted metabolomics. The package was developed by Keerthana Vinod Kumar and published on figshare in June 2026. It standardizes dilution optimization by evaluating electrospray ionization linearity to maximize metabolite coverage within the instrument's linear dynamic range.
An Excel dataset supports the MetaDilutionR R package for standardizing plasma dilution optimization in untargeted metabolomics. The data, 125.4 KB in size, was uploaded by Keerthana Vinod Kumar to figshare in June 2026. It is used to evaluate electrospray ionization linearity and classify metabolite features as linear or nonlinear based on slope and R² thresholds.
MetaDilutionR is an open-source R package dataset for standardizing plasma dilution optimization in untargeted metabolomics. The dataset includes log2-transformed data, summaries of linear features with optimal dilution ranges, and visual regression plot reports. It was authored by Keerthana Vinod Kumar and last updated on 2026-06-03.
An open-source R package dataset for standardizing plasma dilution optimization in untargeted metabolomics. The package automates assessments of electrospray ionization linearity using user-adjustable slope and R² thresholds to classify features. Benchmarking against three established workflows demonstrated that the MetaDilutionR criterion reduces false-positive linear assignments.
An R package dataset for determining optimal plasma dilution in untargeted metabolomics to maximize metabolite coverage within the linear dynamic range of high-resolution mass spectrometry. The dataset was created by Keerthana Vinod Kumar and published on figshare in June 2026. It contains log2-transformed data and evaluations of features across dilution scenarios to classify them as linear or nonlinear.
An open-source R package dataset for standardizing plasma dilution optimization in untargeted metabolomics. The package automates assessments of electrospray ionization linearity using user-adjustable slope and R² thresholds to classify features. Benchmarking against three established workflows demonstrated that the MetaDilutionR criterion reduces false-positive linear assignments.
Serene Jia Ning Loke published a dataset on figshare in 2026. It contains data from a study of 507 Asian memory clinic participants who underwent baseline OCT imaging and annual neuropsychological assessments for up to 5 years. The research investigates associations between OCT scan artefacts and the risk of cognitive decline or conversion to dementia.
Spatial Services provides a statewide digital elevation and depth dataset for New South Wales, Australia. The dataset is available as a 5-meter resolution Digital Elevation Model (DEM) and is accessible via multiple web services and APIs. This GDA94-aligned service is scheduled for retirement, with users directed to transition to a new GDA2020-compliant service.
Satellite Laser Ranging provides unambiguous range measurements with millimeter precision, the only space geodetic technique to do so directly. Analysis of these hourly and daily observation files contributes to the terrestrial reference frame, Earth's gravitational field modeling, and monitoring of the Earth's center of mass. Data from a global network of stations supports precise orbit determination and tests of General Relativity.
NASA CDDIS ground-based Satellite Laser Ranging data provides unambiguous range measurements with millimeter precision from a global network of stations. Analysis of these normal points contributes to the terrestrial reference frame, Earth's gravitational field modeling, and monitoring of the Earth's center of mass. The data supports precise orbit determination for altimeter missions and tests of General Relativity.
A dataset from figshare by Guangyu Fan, last updated on 2026-05-18. It contains data related to spatiotemporal optical vortices (STOVs) and their transverse orbital angular momentum (OAM). The work demonstrates programmable flux breathing and the use of these structures for free-space information transfer.
April 2012 reprocessed data from the Ozone Monitoring Instrument on NASA's Aura satellite provides Level-2 aerosol measurements. Each file contains approximately 53 minutes of data from the sunlit portion of an orbit, with about 14 orbits per day. The product includes aerosol absorption and extinction optical depths, single scattering albedo at 354, 388, and 500 nm wavelengths, and an aerosol index within a 13x24 km field of view.
Standard deviation of monthly dust storm frequency from 2000 to 2022 reveals interannual variability in dust activity across eight intensity thresholds. This Level 3 product is derived from MODIS Terra Deep Blue aerosol data at a 0.1-degree spatial resolution over global land areas. The dataset provides separate quality flags for dust source regions and remote or polluted areas, guiding appropriate application.
60 children aged 6–23 months in Zambia received three quarter-doses of the ETVAX® vaccine with dmLT adjuvant. The dataset contains plasma sample analyses from baseline and post-vaccination time points, measuring anti-CS3 and anti-LTB IgG antibody avidity indices. Author Cynthia Mubanga published the data on figshare under a CC-BY-4.0 license, last updated in May 2026.
60 Zambian children aged 6–23 months received three doses of the ETVAX® vaccine with dmLT adjuvant. Plasma samples from three time points were analyzed to calculate IgG avidity indices for CS3 and LTB antigens, assessing antibody quality. The dataset, published by Cynthia Mubanga, contains results from this immunogenicity study conducted in an endemic setting.
Avidity indices for anti-CS3 and anti-LTB IgG antibodies measured in 60 Zambian children aged 6–23 months. The data were collected as part of a study assessing the ETVAX® vaccine's immunogenicity in an endemic setting. Plasma samples were analyzed at baseline and after multiple vaccine doses using limiting antigen dilution ELISA.
Zambian children aged 6–23 months (n=60) received three doses of the ETVAX® vaccine with dmLT adjuvant. The dataset contains plasma antibody avidity indices for CS3 and LTB antigens measured at baseline and after vaccinations. It was authored by Cynthia Mubanga and last updated on 2026-05-15.
Avidity index data for anti-CS3 and anti-LTB IgG antibodies from a clinical trial of the ETVAX® vaccine in Zambian children. The dataset includes measurements from 60 children aged 6–23 months taken at baseline and after multiple vaccine doses. It was created by Cynthia Mubanga and last updated in May 2026.