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369 results for “droplet”

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zenodo32/100

Epistemic Insight video of water droplets falling on coin

<p>Slow motion video of water droplets landing on coin&nbsp;</p>

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

Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

<p><strong><span>Abstract</span></strong></p> <p><span>Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an <u>LD</u> <u>m</u>embrane labeling pro-probe called<strong> LDM</strong>, which selectively localizes around LD membranes. Upon activation by the HClO/ClO</span><sup><span>&minus;</span></sup><span> microenvironment that surrounds LDs, <strong>LDM</strong> pro-probe undergoes a color change and releases<strong> LDM-OH</strong> probe that binds to LD membrane proteins. This localizes the probe to the LD-as</span><span>sociated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing<strong> LDM</strong>, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using <strong>LDM</strong> in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, <strong>LDM</strong> represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associa</span><span>ted with LD related metabolism diseases.</span></p> <p><span>&nbsp;</span></p> <p><em><span>Keywords:</span></em><span> Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging</span></p>

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

Exploring Advectable Latent Representations for Droplet Size Distributions with Physics-Informed Autoencoders

Open the record for dataset details and reuse information.

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

Datasets and the movie for the manuscript "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration"

<p>This file contains the basic profiles and time series of cloud-field properties, cloud organization metrics, and cold-pool properties associated with the project titled "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration".</p> <p>The numbers of simulations 104, 105, 1, 106, 107, and 108 are associated with the cloud-droplet number concentrations Nc of 20, 50, 70, 100, 200, and 1000 /cm3, respectively.</p> <p>The character "-cnstsun" at the end of a file name is related to simulations without the diurnal cycle of solar radiation.</p> <p>The movie (Nc20_Nc1000.mp4) shows the evolution of cloud albedo (1st column), mixed-layer height hmix (2nd column), total moisture anomaly qt' at the 200-m level (3rd column), and the vertical velocity w at the 200-m level (4th column) for simulations with Nc of 20 (1st row) and 1000 (2nd row) /cm3 and without the the diurnal cycle.&nbsp;</p>

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

Dataset for "Effective simulations of interacting droplets"

<p>This repository contains the dataset for&nbsp;the numerical simulations reported in the paper &quot;Effective simulations of interacting droplets&quot;.</p>

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

Source data for "Design and construction of a microfluidics workstation for high-throughput multi-wavelength fluorescence and transmittance activated droplet analysis and sorting".

<p>Contains numeric data for figures 16-18 and supplementary fig 6&nbsp;linked with the publication:&nbsp;Panwar, J., Autour, A. &amp; Merten, C.A. Design and construction of a microfluidics workstation for high-throughput multi-wavelength fluorescence and transmittance activated droplet analysis and sorting.&nbsp;<em>Nat Protoc</em>&nbsp;(2023).&nbsp;<a href="https://doi.org/10.1038/s41596-022-00796-2">https://doi.org/10.1038/s41596-022-00796-2</a></p>

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

Dataset for "Segmentation of Lipid Droplets in Histological Images"

<p>Datasets for the publication "Segmentation of Lipid Droplets in Histological Images" (Medical Imaging with Deep Learning (MIDL 2023), short paper track. 2023. https://openreview.net/forum?id=nTnAm_El0RC)</p>

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

Resources and datasets for automated high-throughput droplet screening by iSort

<p>Contains the design files and source data&nbsp;linked to&nbsp;the following publication in Cell Reports Methods (2023,&nbsp;https://doi.org/10.1016/j.crmeth.2023.100478)</p> <p><strong><em>iSort&nbsp;</em></strong><strong>enables automated complex microfluidic droplet sorting in an effort to democratize technology.</strong></p> <p><strong>Abstract:&nbsp;</strong><br> Fluorescence activated droplet sorting (FADS) is a widely used microfluidic technique for high throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, resulting in a large combinatorial space that is challenging to optimize systematically. Additionally, there is currently no way to track every single droplet within a screen, leading to compromised sorting and &ldquo;hidden&rdquo; false positive events. To overcome all these limitations, we have developed a setup in which the droplet frequency, spacing and trajectory at the sorting junction are monitored in real time using impedance analysis. The resulting data is used to continuously optimize all parameters automatically and to counteract perturbations, resulting in higher throughput, higher reproducibility, increased robustness and a beginner-friendly character. We believe this provides a missing piece for the spreading of phenotypic single-cell analysis methods, similar to what we have seen for single-cell genomics platforms.</p> <p><strong>To cite:</strong>&nbsp;https://doi.org/10.1016/j.crmeth.2023.100478</p>

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

Super-droplet simulations of a 1D rain shaft model

<p>Super-droplet simulations of a one-dimensional rain shaft model, generated by using the Python-based code PySDM v2.15. The updraft speed and the temperature profile are prescribed, as described in<br> &quot;Shipway, B. J., &amp; Hill, A. A. (2012). Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework. Quarterly Journal of the Royal Meteorological Society, 138(669), 2196-2211&quot;.<br> The data were generated for five surface pressure levels, ranging from 988 hPa to 1012 hPa, with updraft amplitudes ranging from 1 to 4 m/s and an initial aerosol number density varying from 10 to 1000 per cubic centimeter.</p>

opencc-by-4.0Sep 2023View details →
ClinicalTrials.gov32/100

MRD Monitoring by Digital Droplet PCR in the Early Period After Allo-HSCT to Predict Patients at High Risk of Relapse

ClinicalTrials.gov study NCT06000306. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Detection of SARS-CoV-2 RNA in Coughed Droplets From Patients With COVID-19

ClinicalTrials.gov study NCT04912895. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Emulsion Droplet Physical State on Postprandial Lipemia and Satiety

ClinicalTrials.gov study NCT03515590. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Droplet Digital PCR and PCR-free BIOSensors for the Detection of Resistance-associated SNPs in Pneumocystis Jirovecii

ClinicalTrials.gov study NCT06431958. IPD Sharing: YES. Countries: 1. Publications: 7.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Evaluation of Droplet Digital PCR Rapid Detection Method and Precise Diagnosis and Treatment for Suspected Sepsis

ClinicalTrials.gov study NCT05190861. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Enzymatic degradation of liquid droplets of DNA is modulated near the phase boundary

Open the record for dataset details and reuse information.

publicMay 2020View details →
dryad32/100

Data from: Vacuole dynamics and popping-based motility in liquid droplets of DNA

Open the record for dataset details and reuse information.

publicMay 2023View details →
dryad32/100

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

Open the record for dataset details and reuse information.

publicJan 2022View details →
dryad32/100

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

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publicMay 2020View details →
zenodo28/100

Collector Droplet Behavior during Formation of Nanowire Junctions_experimental dataset

<p>This file contains the raw unprocessed experimental data for the results published in&nbsp;Yanming Wang et al.,&nbsp;Collector Droplet Behavior during Formation of Nanowire Junctions,&nbsp;J. Phys. Chem. Lett.&nbsp;2020, 11, XXX, 6498&ndash;6504.</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

An amphipathic helical insert drives interaction of Fibrillins with plastoglobule lipid droplets

<p>Structures and trajectory files for molecular dynamics protein-membrane binding simulations</p>

opencc-by-4.0Sep 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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