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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,346 datasets
DNA molecular data from 32 taeniapterine fly species and 5 outgroup species were used to generate a phylogeny. The dataset comprises a total of 4705 base pairs from mitochondrial (12S, COI) and nuclear (wingless, CAD) genes, analyzed via maximum parsimony and Bayesian inference. It was created by Morgan D. Jackson and published in 2020.
Data from Christopher H. Scott's 2020 study investigates the role of hepatic ARNT in mouse metabolism. The dataset includes measurements from hepatocyte-specific ARNT-null (LARNT), HIF-1α-null (LHIF1α), and HIF-2α-null (LHIF2α) mice, comparing them to littermate controls. It contains results on fasting glucose, glucose tolerance, hepatic ATP levels, post-prandial serum triglycerides, and mRNA expression for genes like G6Pase and Chrebp.
2020 data from a study on liver-specific TAF4 inactivation in mice investigates promoter occupancy of nuclear receptor HNF4A. The dataset supports analysis of pre-initiation complex formation and RNA polymerase II pausing during post-natal hepatocyte maturation. It was authored by Daniil Alpern and published under a CC0 license.
A study analyzes dielectric and optical switching failures in electro-fluidic displays using a ParyleneC/AF1600X multilayer insulator. It tracks applied voltage-dependent leakage current and capacitance changes over thermal aging time. The research identifies distinct failure modes, such as 'no-opening' for single-layer and 'no-closing' for multilayer devices, providing tools for reliability evaluation.
Genetic data from a study on the European spruce bark beetle, Ips typographus, investigates dispersal dynamics between managed and unmanaged forest stands. The dataset includes mitochondrial and nuclear genome sequences used for inferential population genetics. Analysis by Valeria Montano, published in 2020, supports Bayesian inferences of migration rates.
A proteomics study identifies 529 lysine acetylation sites across 304 proteins in rat cortical astrocytes, with 277 sites on 186 proteins being novel. The research also maps acetylome changes in astrocytes infected with the brain parasite Toxoplasma gondii, finding 58 proteins with acetylation levels altered more than twofold. The dataset was generated by Anne Bouchut and published in 2020.
A collection of phylogenomic data from 4178 nuclear loci obtained via targeted sequence capture for 32 squamate taxa and 5 outgroups. It was generated by Jeffrey W. Streicher to resolve the placement of snakes among lizard families and the position of iguanian lizards. The analysis uses approximately 100 times more loci than previous estimates.
John S. Placyk's 2020 study uses AFLP markers and ND2 mitochondrial DNA sequences to analyze hybridization between Thamnophis radix and Thamnophis butleri. The research assesses divergence timescales and tests if the Great Lakes region hybrid zone is of recent origin. Findings indicate shallow mtDNA divergence and high genetic variation within the contact zone.
A collection of customer and logistics records from a USA-based international e-commerce company, published by GitHub user vishalv91 in August 2020. It focuses on operational performance and customer sentiment, though the exact record count is not specified in the source metadata. The data is structured for machine learning tasks including classification and clustering.
Encompassing microscopy images demonstrating a spatiotemporal rank filtering method for improving signal-to-noise ratio in two-photon laser scanning microscopy. The method, developed by Henry Pinkard, enables at least a four-fold decrease in image collection times compared to conventional temporal integration. The data was published in 2020 to support the analysis of this nonlinear filtering technique.
Featuring viscosity measurements for dairy products obtained using a non-contact laser speckle correlation analysis method. The data was authored by Dmitry D. Postnov and last updated in June 2020. The specific row count, column count, and file size are unknown.
A 2020 study by Peter Michaely investigates the tumor suppressor protein Cavin-3 and its role in cellular signaling. The dataset contains experimental results from in vivo knockout and in vitro gain/loss-of-function approaches, examining the balance between ERK and Akt signaling pathways. It explores downstream consequences including metabolic shifts, cell proliferation, and apoptosis resistance.
This dataset originates from a study investigating the mechanism of electrolytic ablation for tumor treatment. It demonstrates that acid and base production at electrodes causes rapid cell death at pH thresholds above 10.6 or below 4.8. The data was authored by Nicholas R. Perkons and last updated in June 2020.
The Office of Health Equity (OHE) created this dashboard to raise awareness of potential disparities among vulnerable U.S. Veterans with Hepatitis C and advanced liver disease. It utilizes criteria like age, gender, geography, service era, and race/ethnicity to characterize Veteran groups who may require targeted intervention. The data was last updated on May 15, 2020, and is hosted on the U.S. Department of Veterans Affairs data portal.
Featuring results from a fluid mechanics study investigating steady streaming motion around a pair of circular cylinders in an oscillatory flow. The analysis focuses on how the flow topology is affected by the gap width between the cylinders and the streaming Reynolds number. The results are compared against experimental observations.
A source of dynamic imaging data from a transgenic quail model (Tg(PGK1:H2B-chFP)) that ubiquitously expresses nuclear localized monomer cherry fluorescent protein. It enables the investigation of cellular differentiation, growth control, and morphogenesis during embryonic stages X to 11. The dataset includes confocal microscopy images for live imaging and cell tracking.
Aggregating simulation results for angle-resolved photoemission spectroscopy (ARPES) of nano-sized molecules, including poly-aromatic hydrocarbons of various sizes and a black phosphorus molecule. The data was generated using density functional theory calculations and a custom simulation code to compute photoelectron intensity for every atomic orbital. The simulation results were validated against experimental ARPES data for highly-oriented pyrolytic graphite.
Experimental data demonstrates real-time optical image compression applied to time stretch imaging, a technique for ultrafast image acquisition. The dataset, authored by Claire Lifan Chen and released in 2020, originates from proof-of-concept experiments where data volume was reduced by about three times. It addresses the data generation challenge in high-throughput imaging systems.
This dataset accompanies a 2020 publication by Yuanzi Wu detailing a fabrication method for surface-enhanced Raman scattering (SERS) substrates integrated into microfluidic chips. The data supports the described low-cost approach using electrostatic assembly of gold nanoparticles and lift-up soft lithography. It enables ultrasensitive in-situ SERS monitoring through a transparent glass window.
Experimental data from a study on a fluorescent carbon dots probe for nitrite detection, fabricated via a hydrothermal method. The dataset includes measurements from transmission electron microscopy, X-ray diffraction, UV-Vis absorption, and fluorescence spectrophotometry. The relationship between fluorescence intensity and nitrite concentration is modeled by a Stern-Volmer equation with a linearity of R²=0.99.