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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
7,026 datasets
Land surface temperature data from the ECOSTRESS instrument for four California wildfires: Carr (2018), Kincade (2019), August Complex (2020), and Dixie (2021). The dataset includes identified hotspots and derived metrics like a rate-of-spread proxy and relationships between active-fire temperature and burn severity. It was created by Margarita Rivera and last updated on 2026-05-22.
London Fire Brigade data details fires where the ignition source was recorded as 'white goods' such as washing machines and refrigerators. The dataset includes incidents by London borough and ward, the type of white goods, property type, and sometimes brand and model information. Data collection began in January 2009 and is updated annually.
An R package dataset for standardizing dilution optimization in untargeted metabolomics using plasma as a model. The package, MetaDilutionR, automates assessments of electrospray ionization linearity and was benchmarked against three established metabolomics workflows. It was authored by Keerthana Vinod Kumar and last updated on June 3, 2026.
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 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.
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.
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.
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.
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 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 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 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 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 standardizing dilution optimization in untargeted metabolomics using plasma as a model. The package, MetaDilutionR, automates assessments of electrospray ionization linearity and was benchmarked against three established metabolomics workflows. It was authored by Keerthana Vinod Kumar and last updated on June 3, 2026.
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.
A systematic literature review analyzes technical and normative specifications for recycled aggregates from construction and demolition waste across 12 countries, including Brazil. The study, authored by Elaine Pinto Varela Alberte, proposes guidelines to support the development of national standards. It examines regulatory and quality control standards to address gaps in the Brazilian construction industry.
Campinas, Brazil, is the focus of a study analyzing how urban legislation parameters affect pedestrian thermal comfort. The dataset likely contains 48 simulation scenarios comparing occupancy rate, floor area rate, and canyon orientation using the Physiological Equivalent Temperature (PET) index. Lígia Parreira Muniz-Gäal conducted the research using the ENVI-met 4.0 preview program.
Spatial Services provides elevation and depth data for New South Wales, Australia, including a 5-meter Digital Elevation Model (DEM). The dataset is a foundational geospatial layer for terrain analysis, hydrology, and infrastructure planning. However, the primary GDA94 service is scheduled for retirement, with users directed to transition to a new GDA2020 service.