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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,344 datasets
Raw underway data logged by the Scientific Computer System aboard NOAA Ship Oscar Dyson. The dataset includes biological, chemical, meteorological, navigational, optical, and physical time series measurements collected in the Arctic Ocean, Beaufort Sea, Bering Sea, and North Pacific Ocean from January 2017 to September 2020. Office of Marine and Aviation Operations personnel submitted the data and supplementary cruise-level metadata from the Ship Daily Activity Log to the National Centers for Environmental Information via the NOAA Rolling Deck to Repository program.
Arctic Ocean, Beaufort Sea, Bering Sea, and North Pacific Ocean data collected by NOAA Ship Oscar Dyson from 2020-08 14 to 2020-09-16. The dataset contains raw underway biological, chemical, meteorological, navigational, optical, and physical time series logged by the ship's Scientific Computer System. NOAA's Office of Marine and Aviation Operations submitted the data and supplementary cruise-level metadata via the Rolling Deck to Repository program.
NOAA Ship Oregon II collected raw underway biological, meteorological, navigational, optical, physical, profile, and time series data in the Gulf of Mexico from 2020-09-04 to 2020-09-07. Office of Marine and Aviation Operations personnel submitted the data and supplementary cruise-level metadata from the Ship Daily Activity Log. The data were archived via the NOAA Rolling Deck to Repository automated process.
NOAA Ship Oscar Dyson collected raw underway biological, meteorological, navigational, optical, and physical data in the North Pacific Ocean from August 11 to 13, 2020. Office of Marine and Aviation Operations personnel submitted these data and supplementary cruise-level metadata to the National Centers for Environmental Information. The data were archived through an automated process under the NOAA Rolling Deck to Repository program.
Arctic multi-year sea ice region data provides locations and depths of melt ponds. The dataset is derived from ATLAS/ICESat-2 L2A Global Geolocated Photon Data using an autoadaptive algorithm. It was produced by NSIDC_CPRD and last updated in August 2020.
85% amplification success for a mitochondrial cyt-b gene fragment from faecal DNA extractions enables non-invasive species identification. This genetic tool, developed by Soraia Barbosa, sequences cyt-b and IRBP gene fragments to distinguish nearly all rodent species in Iberia from non-invasive samples like faeces and owl pellets. It supports studies on distribution, spatial ecology, and conservation of endangered and poorly studied species.
A coastal chinook salmon population was studied to evaluate the heritable variation underlying thermal tolerance. The data originates from a full-factorial breeding design measuring offspring cardiac function and critical thermal maximum (CTmax). Maternal effects, associated with egg size, were found to significantly influence resting heart rate, scope for heart rate, cardiac arrhythmia temperature, and CTmax.
A collection of genetic data from a natural Fundulus heteroclitus population, analyzing nuclear allele frequency differences associated with two divergent mitochondrial haplotypes. It identifies 349 outlier nuclear SNPs with significant frequency differences between the haplotypes. The data was used to examine how mito-nuclear interactions affect cardiac oxidative phosphorylation function.
Experimental data from a study on nitrogen and chlorine co-doped carbon dots (Orn-CDs) used as a fluorescent nanoprobe. The dataset supports quantitative assays for Fe3+ ions with a detection limit of 95.6 nmol L-1 and for ascorbic acid with a limit of 137 nmol L-1. The method was validated for sensing in human serum and urine specimens and for imaging Fe3+ in living cells.
Data from the Tehran Lipid and Glucose Study (TLGS) investigates the association between changes in fasting plasma glucose (FPG) and incident type 2 diabetes. The study followed 3,981 non-diabetic participants over a median of 6.17 years, identifying 288 new diabetes cases. It was conducted by Amirhossein Mozaffary and published in 2020.
This dataset supports a methodology for detecting structural changes in axonal boutons using time-lapse two-photon laser scanning microscopy. The method was validated with correlative 2PLSM and 3D electron microscopy in mouse barrel cortex, showing low false positive/negative detection rates and a high correlation (r=0.93) between 2PLSM-based bouton weights and EM-measured volumes. It includes data used to construct a probabilistic model for quantifying bouton addition, elimination, and size changes.
Computational fluid dynamic (CFD) analysis results and thermal metrics for the nasal passages of two ankylosaur species, Panoplosaurus mirus and Euoplocephalus tutus. Created by Jason M. Bourke and updated in 2020, the data quantifies heat exchange efficiency and energy recovery percentages during dinosaur respiration. The study specifically measures the thermal calories required to warm air and the resulting energy savings from convoluted airway structures.
Genetic sequence data from spotted stream frogs (Hylarana) collected across Southeast Asia, Sundaland, and the Philippines. The dataset includes sequences from two mitochondrial and two nuclear gene regions, used to analyze biogeographic patterns and test the 'dual-invasion' hypothesis. It contains samples from land-bridge and oceanic island populations.
Dryad data from Genevieve Metzger's 2020 study analyzes genetic structure in 2098 Rocky Mountain tailed frogs (Ascaphus montanus) collected from 117 streams. The dataset supports analysis of microsatellite variation, phylogeographic splits, and species distribution modeling in the Inland Northwest.
Nuclear DNA data from 52 genetic markers for nine Triturus newt specimens, including the holotype and two paratypes of T. arntzeni, collected from Vrtovać in eastern Serbia. The data is used to compare genetic admixture with four reference crested newt species: T. cristatus, T. dobrogicus, T. ivanbureschi, and T. macedonicus.
Featuring proton nuclear magnetic resonance measurements of water in aggrecan solutions. It includes longitudinal and transverse relaxation rates at 9.4 T and 0.5 T field strengths, diffusion coefficients, and derived activation energies across a range of temperatures and aggrecan concentrations from 0 to 5.3% w/w.
Featuring DNA metabarcoding results from a study comparing the performance of three genetic markers (nuclear 18S rDNA, mitochondrial COI, and mitochondrial 16S rDNA) for characterizing zooplankton assemblages. The research assessed taxonomic coverage, resolution, and correspondence with morphology-based identification. The dataset supports reproducibility analysis, as COI amplicons sequenced on separate runs showed highly reproducible operational taxonomic units.
Aggregating results from a study analyzing the three-dimensional shape and size of external head surfaces in male and female Nile tilapia (Oreochromis niloticus). It includes data from computational fluid dynamics simulations used to calculate the effect of head morphology on drag force during locomotion. The analysis found that females, which are maternal mouthbrooders, have a 27% larger external head volume than males, resulting in an approximate 15% increase in drag force.
Dryad hosts a dataset from a study on cytonuclear incompatibility as a driver of speciation in the herbaceous plant Campanulastrum americanum. The research quantifies postzygotic reproductive isolation in first-generation hybrids, with fitness reductions up to 92%, and links incompatibility strength to chloroplast genetic distance. The data was authored by Karen B. Barnard-Kubow and last updated in June 2020.
Experimental data investigates the effects of thermal treatment at five temperatures (65, 80, 95, 110, and 125 °C) on defatted soybean flour for wood adhesive applications. The study measures chemical structure, crystalline degree, water-insoluble content, acetaldehyde value, thermal stability, and bonding properties of adhesives. It was authored by Bing-Han Zhang and published in 2020.