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369 results for “droplet”
Adiabatic Cloud Droplet Activation and Growth
Width of the droplet spectrum is an important parameter affecting cloud radiative properties as well as drizzle and rain development in warm ice-free clouds. We consider formation and growth of cloud droplets in an air parcel rising across the subcloud layer, reaching the cloud base, and continuing its rise carrying cloud droplets continuously growing by condensation of water vapor. We focus on the evolution of the spectral width. We show that the simplified droplet growth equation often applied in cloud simulations is not accurate enough to faithfully predict width of the droplet spectrum aloft, especially in polluted weak-updraft shallow clouds such as a continental stratocumulus.
Lagrangian and Eulerian droplets in DNS
The dataset contains some of the data from numerical simulations investigating the impact of turbulence on growth of cloud droplets by the diffusion of water vapor. The dataset includes a dozen of .dat files (standard write from fortran) and two README files that explain how the data was written and how to read it. The entire dataset is about 70 Gb.
Freezing nucleus spectra for hailstone samples in China from droplet freezing experiments—Data
<p>INP concentrations in hailstone samples from droplet freezing experiments.</p>
lipid droplet training dataset for live cell anatomy segmentation
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Manual Droplet Test, PEG Microgels
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Manual droplet test, Guest-Host MAP
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Chaotic Dynamics in a Two-Droplet Pilot Wave System: A Numerical Simulation
<p>Data set and results for our university modeling project.</p>
Data for: Schaub et al., Salt supersaturation as an accelerator of influenza A virus inactivation in 1-μl droplets
<p><strong>Experimental data</strong></p> <p>This folder contains the experimental data to the figures shown in the main manuscript and Supporting Information.</p> <p>Figure 1: inactivation curves for 1- and 2-μl NaCl droplet experiments at 30% RH + NaCl control (infectivity titer and genomic copy enumeration). "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 1: relative radius of NaCl droplets during evaporation. "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 2: inactivation curves for 1-μl NaCl and LiCl droplet experiments at 30 and 65% RH + NaCl and LiCl controls (infectivity titer and genomic copy enumeration). "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 2: relative radius of NaCl and LiCl droplets during evaporation. "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 3: inactivation curves for 1-μl NaCl and NaCl/sucrose droplet experiments at 30 % RH + NaCl and NaCl/sucrose controls (infectivity titer and genomic copy enumeration). "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 3: relative radius of NaCl and NaCl/sucrose droplets during evaporation. "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure 5: virus enumeration (infectivity titer and genomic copies) for virion integrity assay.</p> <p>Figure S2: relative radius of NaCl droplets during evaporation at 65% RH. "Efflorescence" indicates the time at which efflorescence was first observed.</p> <p>Figure S5: inactivation curves for bulk experiments at various NaCl molalities (infectivity titer).</p> <p>Figure S6: inactivation curves for 1-μl NaCl droplet experiment at 74% RH (infectivity titer and genomic copy enumeration).</p> <p>Figure S8: inactivation curves for bulk experiments at pH 11 (infectivity titer).</p> <p> </p> <p><strong>Abbrevations used:</strong></p> <p>GC = Genomic Copies</p> <p>LoQ = Limit of Quantification</p> <p>m = molality (mol/kg H2O)</p> <p>PFU = Plaque Forming Unit</p> <p>ul = microliter</p>
Self-Organized Patterns in Predator-Prey Droplets
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A study on the influence of cloud droplet concentration on the growth trajectory of hailstone in a hailstorm occurred in semiarid region of China [Data set]
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Emulator of PR-DNS: Part II, dataset for training the emulator of thermodynamics and cloud droplet fields in Particle-Resolved Direct Numerical Simulation
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Measurement report: The influence of particle number size distribution and hygroscopicity on the microphysical properties of cloud droplets based on a mountain site field campaign
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"water droplet on a leaf" - epistemic insight and an AI generated image
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Multiscale modelling of droplet collisions in spray draying
<p>Multiscale modelling of droplet collisions in spray draying</p>
A droplet reactor on a super-hydrophobic surface allows control and characterization of amyloid fibril growth
<p>Methods to produce protein amyloid fibrils, in vitro, and in situ structure characterization, are of primary importance in biology, medicine, and pharmacology. We first demonstrated the droplet on a super-hydrophobic substrate as the reactor to produce protein amyloid fibrils with real-time monitoring of the growth process by using combined light-sheet microscopy and thermal imaging. The molecular structures were characterized by Raman spectroscopy, X-ray diffraction and X-ray scattering. We demonstrated that the convective flow induced by the temperature gradient of the sample is the main driving force in the growth of well-ordered protein fibrils. Particular attention was devoted to PHF6 peptide and full-length Tau441 protein to form amyloid fibrils. By a combined experimental with the molecular dynamics simulations, the conformational polymorphism of these amyloid fibrils were characterized. The study provided a feasible procedure to optimize the amyloid fibrils formation and characterizations of other types of proteins in future studies.</p>
UV-VIS Spectra Activated Droplet Sorting for Label-Free Chemical Identification and Collection in Droplets
<p>Data underlying the figures in the publication “UV-VIS Spectra Activated Droplet Sorting for Label-Free Chemical Identification and Collection in Droplets”, published in <em>Analytical Chemistry, </em><strong>2021</strong>.</p> <p>Table of contents:</p> <p><strong>1. Fig2_BSA_calibration_2000us</strong>; Excel file containing the BSA UV-VIS spectra corresponding to <em>Figure 2</em>. It demonstrates the calibration of the UV-VIS in-droplet measurement. Spectroscopy settings: 2000 us integration time and 200 nm to 800 nm wavelength range. Samples: PBS (control), 500 uM BSA, 250 uM BSA, 100 uM BSA, 50 uM BSA, and 10 uM BSA.</p> <p><strong>2. Fig3_Data</strong>; Excel file containing the UV-VIS time-lapse data for high-throughput droplet measurements used in all subfigures of <em>Figure 3</em>. <em>Fig3data.csv</em> is a semi-colon separated csv file for UV-VIS measurements collected over ~30 minutes. Saved wavelengths include 250, 280, 300, 311, 315, 400, 500, and 600 nm. An integration time for the spectrometer of 500 us was used.</p> <p><strong>3. Fig4_C_Postsorting and Fig4_C_Presorting</strong>; Overlaid bright field & fluorescent images of droplets containing E. coli expressing gfp microcolonies before and after droplet sorting.</p> <p><strong>4. Fig4ABD_Data</strong>; Zip. archive containing the experimental data for <em>Figure 4</em>. Interaction of polymersome-based melanosome mimics with HaCaT cells. (A) Cell proliferation assay showing the non-toxicity of different polymersomes encapsulating dopamine and Tyrosinase (dashed purple), L-DOPA and</p> <p><strong>5. Fig5A_Combined Data</strong>; Excel file containing the UV-VIS spectra for <em>Figure 5A</em>. Separate sheets contain spectra for the 3 conditions: empty droplet, mutant (ergothionase activity negative) droplets, and wild type (positive) droplets. UV-VIS range from 200 nm to 1000 nm.</p> <p><strong>6. Fig5B_Ergothionase assay_wild type mutant mix</strong>; Excel file containing the UV-VIS time-lapse data for high-throughput droplet measurements used in <em>Figure 5B</em>.</p> <p>“Fig5B_Ergothionase assay_wild type mutant mix.csv” is a semi-colon separated csv file. Wavelengths 280, 311, 400, and 600 nm are saved. An integration time of 2000 ms was used.</p> <p>“Fig5B_Ergothionase assay_wild type mutant mix_settings.conf” is a configuration file for the spectrophotometer used for this measurement. It describes all spectrometer settings used in the droplet sorting process.</p> <p><strong>7. Fig5C_Combined Data</strong>; Excel file containing the 311 nm absorbance data of <em>Figure 5C</em>; from droplets before and after droplet sorting. The data from both conditions are separated as sheets within the file. An integration time of 2000 ms was used for these measurements.</p> <p><strong>8. SI_Absorbance_by_Geometry</strong>; Excel file containing the data used in <em>Figure S1</em> to test different UV-VIS detection region geometries.</p>
Supplement to the manuscript "Overcoming computational challenges to realize meter-to-submeter-scale resolution in cloud simulations using super-droplet method" (Matsushima et al., 2023)
<p>Supplemental codes, figures, movies, and datasets to the manuscript "Overcoming computational challenges to realize meter-to-submeter-scale resolution in cloud simulations using super-droplet method" (Matsushima et al., 2023)</p> <p>See README.md for more details.</p>
Shadowgraph tests of droplet impact on unheated and heated surface (ENCIT 2022)
<p>High-speed video images using the Shadowgraph technique of droplet impacting an aluminum substrate at room temperature (22 ºC) and heated at 140 ºC e 260 ºC and at different impact velocities (from 0.16 to 1.7 m/s). See PDF file for metada.</p>
Video data describing bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells
<p>Video data of loop-mediated isothermal nucleic acid amplification (LAMP) and bioluminescent assay in real time (BART) in microfluidicaly produced droplets. The videos are the data used to generate still images for figures in the source publication "Bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells".</p> <p>Details of the videos acquisition parameters are as follows:</p> <ul> <li>Video 1: LAMP-BART droplets in tubing - no DNA template control (Figure 2a) (assay duration 600s, frames 1 per 10s, 60 frames, final</li> <li>Video 2 frames per second) Video 2: LAMP-BART droplets in tubing - positive DNA template control (Figure 2b) (assay duration 1800s, frames 1 per 10s, 180 frames, final video 10 frames per second)</li> <li>Video 3: LAMP-BART parked droplets (Figure 3) (assay duration 600s, frames 1 per 10s, 60 frames, final video 3.3 frames per second)</li> <li>Video 4: LAMP-BART DNA gradient in tubing (Figure 4) (assay duration 1800s, frames 1 per 10s, 180 frames, final video 10 frames per second)</li> <li>Video 5: LAMP-BART eDIBs (Figure 5) (assay duration 1570s, frames 1 per 10s, 157 frames, final video 5.2 frames per second)</li> <li>Video 6: One to four core LAMP-BART eDIBs (Figure 6) (assay duration 1200s, frames 1 per 10s, 120 frames, final video 5 frames per second)</li> </ul> <p>When referencing please use:</p> <p>Hardinge, P., Baxani, D. K., McCloy, T., Murray, J. A. H. & Castell, O. K. Bioluminescent detection of isothermal DNA amplification in microfluidic generated droplets and artificial cells. <em>Sci Rep</em> <strong>10</strong>, 21886 (2020).</p>
Supporting videos for PhD thesis- Droplet microswimmers: chemohydrodynamic and collective effects
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.