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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,020 datasets
MASTER instrument data contains Level 1B and Level 2 products from three NASA ER-2 aircraft flights over California and Nevada in late 2005. The dataset provides georeferenced multispectral imagery across 50 spectral bands from visible to thermal infrared wavelengths, at approximately 50-meter spatial resolution. It includes derived products like land surface temperature and emissivity, along with flight paths and instrument metadata.
Fifty spectral bands of calibrated radiance and derived land surface temperature data were captured by the MODIS/ASTER Airborne Simulator instrument during five NASA ER-2 flights. The dataset covers parts of the southwestern United States from May 15 to 23, 2011, with Level 1B data in HDF-4 format and Level 2 products in ENVI and KMZ formats. It was coordinated by NASA's Dryden (now Armstrong) Flight Research Center and includes flight paths, instrument configuration, and ancillary notes.
Daily 1-kilometer resolution global aerosol optical depth data from the combined Terra and Aqua MODIS satellites, processed using the MAIAC algorithm. This Level 2 product includes multiple science layers such as AOD at blue and green bands, uncertainty, water vapor, and smoke injection height. It is produced by NASA and has undergone calibration improvements in Version 6.1.
Land cover classification data for southern Africa is a 1-km resolution subset of a global product derived from NASA/NOAA Pathfinder AVHRR satellite imagery. The dataset contains 13 land cover classes created using 41 vegetation phenology metrics from 1992-1993 data, with supporting spectral bands including red, infrared, thermal, and NDVI. It was developed by the University of Maryland's Laboratory for Global Remote Sensing Studies and is hosted by NASA.
Electron intensity spectra from 35 keV to 5 MeV were collected every 4.086 seconds by four directional telescopes on the UARS spacecraft. The dataset provides daily files from October 1, 1991 to August 23, 2005, covering latitudes between -57 and +57 degrees. Data from two logical detectors (DE: 35-300 keV, EE: 300 keV-5 MeV) characterize charged particles injected into the stratosphere, mesosphere, and thermosphere.
Particle Environment Monitor (PEM) data from the Upper Atmosphere Research Satellite (UARS) provides daily high-resolution spectra of charged particles. The nadir boom measures electron fluxes from 35 keV to 5 MeV using two telescopes, while the zenith boom measures proton fluxes from 70 keV to 150 MeV using six telescopes. This dataset is designed to study the injection of charged particles into Earth's thermosphere, mesosphere, and stratosphere.
The Leveque Shelf, a sub-basin of the Browse Basin on the Northwest Shelf of Western Australia, was surveyed in May 2013. Geoscience Australia and the Australian Institute of Marine Science collected 111 seabed sediment samples to assess CO2 storage potential. This dataset contains the results of grain size analysis measured by laser diffractometer.
A 14.4 KB ZIP file contains first-principles phonon dispersions, eigenvectors, and temperature-dependent, mode-resolved line widths for three materials: chiral Te, multibranch LiNbO3, and strongly anharmonic Rb2Se3. The dataset, authored by Hong Sun and last updated in June 2026, supports the analysis of interband contributions to thermally driven phonon angular momentum. It includes a derived activation criterion and a minimal nanoribbon model for nanostructures.
179 plasma microRNA levels were measured via qRT-PCR in 14 Romanian adolescents aged 15–18, comprising 7 drug-naïve first-episode psychosis patients and 7 age- and sex-matched controls. The dataset, created by Ștefania-Alexandra Grosu and last updated in May 2026, includes clinical symptom scores from PANSS, HAM-D, and YMRS scales. Twenty-three miRNAs showed significant level differences between patients and controls, with five remaining significant after multiple comparison adjustment.
A study investigating the effects of needle-warming moxibustion on cervical spondylotic radiculopathy. The dataset includes experimental results from a rat model and clinical data from 100 human patients, collected by Bing Li and last updated in May 2026. It contains measurements of pain thresholds, inflammatory cytokines, gait scores, and patient-reported outcomes.
A physiologically based pharmacokinetic (PBPK) model for the drug niraparib, developed to predict optimal dosage in patients with hepatic impairment. The model was built using PK-Sim software and calibrated using an Approximate Bayesian Computation Sequential Monte Carlo approach. It was authored by Anatoly Pokladyuk and last updated on May 11, 2026.
A physiologically based pharmacokinetic (PBPK) model dataset for the drug niraparib, developed to predict optimal dosage in patients with hepatic impairment. The model was built using PK-Sim software and calibrated with an Approximate Bayesian Computation Sequential Monte Carlo approach, based on a systematic literature review of clinical PK data. It was authored by Anatoly Pokladyuk and last updated on May 11, 2026.
A 1.8 MB ZIP file contains the dataset and source code for a computational framework published by Mohamed Abdelsabour Fahmy. The framework uses finite-duration thermal injury as an active diagnostic input to identify hidden hypermetabolic tissue embedded in multilayer human skin. It combines transient Pennes bioheat transfer, multilayer skin geometry, and inverse recovery of abnormal-region properties, intended as a publication-level basis for thermal-injury-assisted diagnosis.
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.
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 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 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 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.