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369 results for “droplet”

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dryad32/100

Controlled packing and single-droplet resolution of 3D-printed functional synthetic tissues

<p>3D-printing networks of droplets connected by interface bilayers is a powerful platform to build synthetic tissues, in which functionality relies on precisely ordered structures. However, the structural precision and consistency in assembling these structures is currently limited, which restricts intricate designs and the complexity of functions performed by synthetic tissues. Here, we report that the equilibrium contact angle (<i>θ<sub>DIB</sub></i>) between a pair of droplets is a key parameter that dictates the tessellation and precise positioning of hundreds of picolitre droplets within 3D-printed, multi-layer networks. When <i>θ<sub>DIB</sub></i> approximates the geometrically-derived critical angle (<i>θ<sub>c</sub></i>) of 35.3º, the resulting networks of droplets arrange in regular hexagonally close-packed (hcp) lattices with the least fraction of defects. With this improved control over droplet packing, we can 3D-print functional synthetic tissues with single-droplet-wide conductive pathways. Our new insights into 3D droplet packing permit the fabrication of complex synthetic tissues, where precisely positioned compartments perform coordinated tasks.</p>

opencc-zeroMay 2020View details →
zenodo32/100

AutoCAD drawings of 25 um droplet sorting device.

<p>AutoCAD drawings of 25um droplet sorting device. Must be made 25um high.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Training dataset for label-free microfluidic droplet classification in single cell functional assays

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2024View details →
zenodo32/100

Dataset related to the publication "Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell"

<p>Related to the publication &nbsp;&quot;Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell&quot; <a href="https://www.zenodo.org/record/5503915">https://www.zenodo.org/record/5503915</a></p> <p>The file contains raw data of the results shown in Figure 1, 2, 3, 4, 6, 7, 8, S1 and S2.</p>

opencc-by-4.0Jul 2021View details →
dryad32/100

Elasticity and damping ratio measurement of droplets on super-hydrophobic surfaces

<p>The elasticity of the droplet refers to the ability of the droplet in restoring to its original shape and ensuring its strong robustness. The measurement of the droplets' elasticity is vitally important in understanding the characteristics and mechanism of the droplet jumping, spreading, and coalescence. In this paper, we measured the elasticity and damping ratio of droplets with different viscosity. A plate coated with a hydrophobic layer pressed on a droplet, and the elastic force was recorded by an electronic balance. Meanwhile, a mathematical model was constructed to illustrate the change rate of the droplet area with the elastic force. By comparing the influence of volume and viscosity on elasticity, the results showed that work done by pressure converts into surface energy. And the elasticity of the droplet is provided by the surface tension and the damping ratio increases from 0.068 to 0.261.</p>

opencc-zeroJan 2022View details →
zenodo32/100

Photographic data on the influence of the composition, preparation method, time and fuel system on the size of water droplets in a fuel-water emulsion

<p>This data was collected during the research aimed at understanding the influence of the composition, mixing time and time between the production and application of the fuel-water emulsion, as well as the influence of the fuel pump of the miniature gas turbine GTM-120 on the droplet size of the water-fuel emulsion. An emulsion with a water content of 3% to 15% and an emulsifier content of 1% to 3% was tested. The basic fuel in the conducted tests was Jet-A1 with 5% oil additive.&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Raw data for the manuscript "Effective simulations of interacting active droplets"

<p>This archive contains the raw data for all figures of the manuscript&nbsp;&quot;Effective simulations of interacting active droplets&quot; for the version published on&nbsp;<a href="https://arxiv.org/abs/2206.10925">https://arxiv.org/abs/2206.10925</a>.</p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

Dataset (flow rates, heads, holdups, droplet size distributions, Sauter mean diameters) for a DN300 Pump-Mixer

<p>This dataset contains all measured data and the supplementary material of the publication &quot;Fluid dynamics in a continuous pump-mixer&quot; submitted at applied sciences, MPDI</p>

openAug 2022View details →
zenodo32/100

The GBA variant E326K is associated with alpha-synuclein aggregation and lipid droplet accumulation in human cell lines.

<p>Raw data corresponding to graphs in publication:&nbsp;The GBA&nbsp;variant E326K is associated with alpha-synuclein aggregation and lipid droplet accumulation in human cell lines. Files are titled with the figure number. Each graph is on a different tab within the excel spreadsheet.</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Data for droplet frequencies in atomizing pulsed jet

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Jojoba (Simmondsia chinensis) LDAP1 facilitates the efficient packaging of wax esters into lipid droplets

<p>Input structures for a manuscript, along with selected output data and structures. This directory structure contains a cut-down copy of the directories used to generate the simulation data and the analysis. In order to make this fit into the 50GB Zenodo limit, it was constructed with the following tar command:&nbsp;<br><code>tar -zcvf LDAP1.tar.gz &nbsp;--exclude="*BAK" --exclude="*#" --exclude="*log" --exclude="*xsc" --exclude="*coor" --exclude="*vel" --exclude="*[0-9].out" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*ppm" --exclude="*png" --exclude="*pdf" &nbsp;--exclude="*catchy*" --exclude="*svg" --exclude="*restart*" --exclude="*history" --exclude="core.*" --exclude="FFTW_NAMD*" --exclude="*avi" --exclude="*mp4" --exclude="*dimer*" --exclude="models" LDAP1</code><br><br></p> <p>The data is split into two directories initially "<strong>build</strong>" and "<strong>Simulations</strong>"</p> <ul> <li>"<strong>build</strong>" directory is the part where initial system for bilayer and lipid droplet simulation were build.</li> <li>"<strong>Simulations</strong>" directory has the different namd files for running simulation, and a sub folder of "<strong>Analysis"</strong> contains script for analysis of the simulation trajectory.</li> </ul>

opencc-by-4.0May 2024View details →
zenodo32/100

Zyxin, VASP and ɑ-actinin droplet assay datasets

<p>This dataset contains the raw iSIM microscopy data of droplet assays with zyxin, VASP, and ɑ-actinin, as well as the script used to analyze the data.</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Impact of atmospheric water-soluble iron on α-pinene-derived SOA formation and transformation in the presence of aqueous droplets

<p>The following data sets belong to the article "Impact of atmospheric water-soluble iron on &alpha;-pinene-derived SOA formation and transformation in the presence of aqueous droplets" The impact of water-soluble atmospheric iron on formation, growth and aging of secondary organic aerosol (SOA) is a controversial subject in the literature. Iron chemistry drives Fenton-like reactions in the aqueous phase which is dependent on pH. Flow reactor experiments in the dark and under humid conditions were conducted to investigate systematically the influence of ferrous iron in the aqueous phase on &alpha;-pinene SOA by online physical analysis and offline high-resolution mass spectrometry. In total 31 flow reactor experiments were conducted in four sets of experiments. All SMPS data and mass spectra in negative mode are uploaded sorted by set of experiments and figures in the paper. You can find the workflow of SMPS data analysis as well as the retention times of the target analysis in the paper and SI.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Silicone oil droplet full of fluoresent particle moving on a conical fiber

<p>Chapter 5 - Droplets on a conical fiber. Video of a silicone oil droplet moving on a conical fiber.</p> <p>The droplet is full of fluorescent particles which facilitates the visualization of internal liquid motion. The red vertical line marks the expected position where the droplet's shape transitions. On the left of this line, the droplet exhibit a barrel shape, while on the right, it has a clamshell shape.&nbsp;</p> <p>Volume of the droplet : 4 &micro;l <br>Half-angle of the cone : 6&deg; <br>Silicone oil viscosity : 50 cSt</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Silicone oil droplet spreading inside hypocycle and epicycle grooves

<p>Chapter 2 : Droplet spreading inside curved grooves. Figure 2.3 (c) <br>Two videos of a red-dyed silicone oil droplet spreading within (top) a hypocycle groove and (bottom) a epicycle groove. The radius of the groove is the same, R = 1.37 mm, and the volume of the droplet is the same, 5 &micro;l. The numerically found contour is in black, it allows to measure to position at both side of the droplet, and therefore the speading over time. <br>Real time video.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Video of glycerol droplet on twisted fibres

<p>Chapter 4 : Droplets on twisted cylindrical fibers. Figure 4.1.</p> <p>Three experimental videos of a yellow-dyed glycerol droplet descending along a bundle of two twisted fibers. From left to right the number of fiber twists increases, n = 40, n = 80 and n = 120. The volume of the droplet is 5 &micro;l and one fiber is d = 0.25 mm.</p> <p>Real time video.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Silicone oil droplet moving on conical fiber : comparison half-angle and volume

<p>Chapter 5 : Droplets on a conical fiber. Figure 5.1</p> <p>Three videos of a single silicone oil moving on a conical fiber. The droplet moves spontaneously towards the base of the cone. From top to bottom the movies are with different experimental parameters : (top) cone half-angle 4&deg; volume 4 &micro;l; (middle) cone half-angle 4&deg;, volume 2 &micro;l; (bottom) cone half-angle 6&deg;, volume 2 &micro;l.</p> <p>Real time video.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Video of silicone oil droplet on a cylindrical fiber : merging

<p>Chapter 3 : Multiple droplets on a cylindrical fiber. Figure 3.1.</p> <p>&nbsp;</p> <p>Experimental video of a red-dyed silicone oil droplet descending along a cylindrical fiber. At a given time and a given position, the two generations will meet. The mother droplet is under and the daughter droplet is above.</p> <p>Volume of the initial droplet : 5 &micro;l<br>Fiber diameter : 0.3 mm</p> <p>Video accelerated 2x.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Video of silicone oil droplet on a cylindrical fiber

<p>Chapter 3 : Multiple droplets on a cylindrical fiber. Figure 3.1.</p> <p>Experimental video of a red-dyed silicone oil droplet descending along a cylindrical fiber. As the droplet slides down, a liquid film is left behind. The Rayleigh-Plateau instability takes place which creates a tiny new droplet.</p> <p>Volume of the initial droplet : 5 &micro;l<br>Fiber diameter : 0.3 mm<br><br>Real time video.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery

<p>Contains source datas (e.g. uncropped gels, FASTQ nanopore sequences, numeric data) and the python scripts for Fluorescence-activated droplet sequencing (FAD-seq) publication</p>

opencc-by-4.0Aug 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record