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673 results for “Suspension”

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zenodo52/100

Russo-Ukrainian War: Prediction and explanation of Twitter suspension

<p>The dataset utilized in the research paper: &quot;Russo-Ukrainian War: Prediction and explanation of Twitter suspension&quot; accepted to ASONAM 2023 conference. The provided dataset contains multiple extracted feature categories based on the Twitter dataset collected during the Russo Ukrainian War. The dataset dose not contain any private user information since user and tweet IDs are removed.</p>

opencc-by-4.0Oct 2023View details →
edi48/100

Stable isotope content (carbon, nitrogen) for epibenthic suspension feeders and Macrocyctis pyrifera at in the Santa Barbara Channel, 2010-2011

This dataset includes measurments of stable carbon, nitrogen isotopes in tissues of eight epibenthic suspension feeders and Macrocystis pyrifera (giant kelp) at three reefs in the Santa Barbara Channel during 2010 and 2011, as part of a study to (a) determine the contributions of phytoplankton and giant kelp detritus to the pool of suspended reef particulate organic matter (POM), and usage by benthic susupension feeders and (b) whether POM composition varies with distance from kelp forests. Species sampled include Chaceia ovoidea (bivalve), Aglaophenia spp (ostrich plume hydrozoan), Cucumaria piperata (echinoderm), Muricea californica (cnidarian), Phragmatopoma californica (tube worm), Parapholas californica (bivalve), Pachythyone rubra (echinoderm), and Styela montereyensis (tunicate). Samples were collected at three core SBC LTER research reefs: Arroyo Quemado, Arroyo Burro, and Mohawk. Potentially important food sources to benthic suspension-feeders on shallow subtidal reefs include phytoplankton-dominated seston, kelp-derived detritus, and for locations adjacent to sources of freshwater runoff, terrestrially-derived material. Our data will be input to mixing models to estimate the contribution of each source to the reef food web.

openCC (other)Oct 2022View details →
zenodo44/100

Time perception in suspenseful films

<p>Dataset of an experimental study in which participants (N = 50) watched short video clips from horror films. Participants were asked to estimate perceived suspense levels and to do a time estimation task.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

Effect of salinity on flows of dense colloidal suspensions - Additional Data

<p>Additional dataset for the article "Effect of salinity on flows of dense colloidal suspensions".</p>

opencc-by-4.0Feb 2024View details →
zenodo44/100

Human papillomavirus (HPV) detection in vaginal self-samples: evaluation of eNat® as an alternative suspension medium to ThinPrep®PreservCyt® for vaginal swabs

<p>Dataset 1: HPV positivity on cervical and vaginal self-samples with different HPV real-time PCR assays</p> <p>Dataset 2:&nbsp;hrHPV viral load in cervical and vaginal self-samples</p> <p>Datakey 1: HPV positivity on cervical and vaginal self-samples with different HPV real-time PCR assays</p> <p>Datakey 2: hrHPV viral load in cervical and vaginal self-samples</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Russo-Ukrainian War: Prediction and explanation of Twitter suspension

<p>Dataset used in research paper : &quot;Russo-Ukrainian War: Prediction and explanation of Twitter<br> suspension&quot;. Contain extracted features for Twitter users, correlated to discussion of Russo-Ukrainian war. Contain multiple feature categories. Source code of dataset usage in Machine Learning approach is available at GitHub: https://github.com/alexdrk14/TwitterSuspension .</p>

opencc-by-4.0Jul 2022View details →
zenodo44/100

Oscillatory compression with different frequencies of 2D, dense, soft particle suspensions

<p>This repository contains 5 datasets of cyclically compressed hydrogel packings inside microfluidic channels, with different oscillation frequencies,&nbsp;observed using a microscope. This repository contains the raw data (images) as well as analyzed data of the particles tracked over time. The data format closely resembles information you might obtain from 2D DEM simulations, and could, therefore, be used to calibrate DEM simulations of the compaction of soft particles.</p> <p>The &quot;Readme.md&quot; file contains more in-depth information about the experimental setup, experiments and data structure.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici

<p>Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: <a href="https://doi.org/10.3389/fpls.2019.01350">10.3389/fpls.2019.01350</a></p> <p>&nbsp;</p>

opencc-by-4.0Apr 2019View details →
zenodo44/100

Dataset for "Infiltration and resuspension of dilute particle suspensions in micro cavity flow "

<p>This dataset contains the numerical simulation data describing the migration behaviour of particles. Detailed study on the infiltration and resuspension of particle in a cavity flow is presented in a journal paper entitled &quot;Infiltration and resuspension of dilute particle suspensions in micro cavity flow &quot;. We provide all the essential data in a single excel file with the description below:</p> <p>&nbsp;</p> <p>Dataset 1- Particle trajectory for different releasing positions. The parameters are&nbsp;<em>Re</em>=56.9,&nbsp;<em>h</em>=32,&nbsp;<em>l</em>=80. The particle densities are&nbsp;<em>&rho;<sub>p</sub></em>=1.3 in plot (Fig. 7a) and&nbsp;<em>&rho;<sub>p</sub></em>=2.0 in plot (Fig. 7b). (Data of Fig. 7)</p> <p>Dataset 2 - Particle trajectory for different periodic domain lengths. The parameters are&nbsp;<em>&rho;<sub>p</sub></em>=1.3,&nbsp;<em>Re</em>=56.9,&nbsp;<em>h</em>=32 and&nbsp;<em>l</em>=80. (Data of Fig. 8)</p> <p>Dataset 3 -&nbsp;The time evolution of&nbsp;(Fig. 9a)&nbsp;the&nbsp;vertical position&nbsp;<em>z</em>, (Fig. 9b) the horizontal velocity&nbsp;<em>u<sub>x</sub></em>, and (Fig. 9c) the vertical velocity&nbsp;<em>u<sub>z</sub></em>&nbsp;of a single particle with the same Renolds number&nbsp;<em>Re</em>=56.9 and&nbsp;cavity&nbsp;size of&nbsp;<em>h</em>=32 and&nbsp;<em>l</em>=80, but different particle densities. (Data of Fig. 9)</p> <p>Dataset 4 -&nbsp;The trajectories of a single particle over the cavity with:&nbsp;(Fig. 10a) different particle densities but the same Renolds number&nbsp;<em>Re</em>=85.3 and&nbsp;cavity&nbsp;size of&nbsp;<em>h</em>=16 and&nbsp;<em>l</em>=80; (Fig. 10b) different Reynolds numbers but the same particle density&nbsp;<em>&rho;<sub>p</sub></em>=1.3 and&nbsp;cavity&nbsp;size of&nbsp;<em>h</em>=32 and&nbsp;<em>l</em>=80; (Fig. 10c) different&nbsp;cavity&nbsp;sizes but the same Renolds number<em>&nbsp;Re</em>=56.9 and particle density&nbsp;<em>&rho;<sub>p</sub></em>=1.3. The dashed lines represent the boundary of the&nbsp;cavity. (Data of Fig. 10)</p> <p>Dataset 5 -&nbsp;Typical particle trajectories in the cavity. The dashed lines represent the boundary of the trap.&nbsp;(Data of Fig. 12)</p> <p>Dataset 6 -&nbsp;The variation of trap efficiency with particle density for (Fig. 13a) different cavity sizes with the same&nbsp;<em>Re</em>=56.9, and (Fig. 13b) different Reynolds numbers with the same cavity size&nbsp;<em>h</em>=32,&nbsp;<em>l</em>=80, respectively.&nbsp;(Data of Fig. 13)</p> <p>Dataset 7 -&nbsp;The critical entering distance as a function of the scaling parameter&nbsp;<em>T<sub>h</sub></em>. The fitting line is performed with an exponential function with the same form as Eq. (19).&nbsp;(Data of Fig.14)</p> <p>Dataset 8 -&nbsp;The variation of the trap efficiency with the trap number. (Data of Fig.15)</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Dataset From: Structural and double layer forces between silica surfaces in suspensions of negatively charged nanoparticles

<p>The dataset for the publication &quot;Structural and double layer forces between silica surfaces in suspensions of negatively charged nanoparticles&quot;. DOI: 10.1021/acs.langmuir.0c02917.</p> <p>Files containing data have .dat extension and are in text format</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Supplementary Material: Microfluidic Fabrication Solutions for Tailor-Designed Fiber Suspensions

<p>Supplementary material for Berthet, H.; du Roure, O.; Lindner, A. Microfluidic Fabrication Solutions for Tailor-Designed Fiber Suspensions. <em>Appl. Sci.</em> <strong>2016</strong>, <em>6</em>, 385.</p> <p><strong>Video S1:</strong> Microfluidic fabrication technique of fibers by in situ photopolymerization</p> <p><strong>Video S2: </strong>In situ microfluidic measurement of the fiber’s Young’s modulus</p> <p><strong>Video S3: </strong>Microfluidic fabrication technique of fibers by super-paramagnetic particles self-assembly</p> <p><strong>Video S4: </strong>Fiber oscillating between the two lateral walls of a microfluidic channel</p> <p><strong>Video S5: </strong>Flow through a constriction of a suspension of parallel fibers fabricated by photo-polymerization</p> <p><strong>Video S6: </strong>Flow through a constriction of a suspension of rigid perpendicular fibers fabricated by photo-polymerization</p> <p><strong>Video S7: </strong>Flow through a constriction of a suspension of flexible perpendicular fibers fabricated by photo-polymerization</p> <p><strong>Video S8: </strong>Concentrated suspension of fibers flowing through a microfluidic constriction</p> <p><strong>Video S9: </strong>Fibers made by colloids self-assembly flowing through a constriction and forming non-permanent clusters.</p>

opencc-by-4.0Dec 2016View details →
zenodo40/100

Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum

Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation.

opencc-by-4.0Feb 2019View details →
zenodo40/100

Effect of sediment suspensions on seawater conductivity measurements

<p>Data are in small files recorded in April 2015 and March 2016 during experiments made in Shom&#39;s metrology laboratory. A 2 liter cylindrical container, immersed in a calibration bath, was filed with seawaters of practical salinities 35 or 38, and stabilized in temperature at 10 &deg;C to better than 1 mK. 10 &deg;C was choosen to avoid seawater evaporation during measurements. Measurements were made with a calibrated CTD recorder SBE 37 placed in the cylindrical container and a reference temperature probe SBE 35 placed in the calibration bath. Sand or sediments were added progressively in the container and mixed with a stirring propeller. After each increase in sand concentration, a file was recorded. Measurements were made at concentrations: 0, 50, 100, 200, 300, 500, 700, 900, 1100, 2000, 3000 and 5000 mg/l.<br> The sand comes from Plouneour-Trez beach in Brittany, France, 48&deg; 39&prime; North, 4&deg; 19&prime; West. The sediments come from muds taken in the Abers Benoit (Treglonou) and Le Faou bays (France) located respectively at 48&deg; 33&prime; North, 4&deg; 32&prime; West and 48&deg; 17&prime; 36&Prime; North, 4&deg; 10&prime; 39&Prime; West.</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Dataset for Effect of matrix solidification on the structure formation in electromagnetic suspensions

<p><strong>Introduction:</strong> Dataset from numerical simulations describing the structure formation in suspensions with electromagnetically active particles in an external field, as described in detail in the paper</p> <ul> <li>Konstantinos Manikas, Markus H&uuml;tter, Patrick D. Anderson: Effect of matrix solidification on the structure formation in electromagnetic suspensions. Appl. Phys. A, 128: 709&nbsp;(11 pages), 2022. DOI: 10.1007/s00339-022-05844-y&nbsp; WWW: https://doi.org/10.1007/s00339-022-05844-y</li> </ul> <p>which should be cited whenever this dataset is used. The data compiled here is the basis for figures 4, 5, and 6 in that paper.</p> <p>&nbsp;</p> <p><strong>Format:</strong> The files are provided in plain-text format (ascii).</p> <p>&nbsp;</p> <p><strong>Filenames:</strong> The nomenclature for the filenames follows the following scheme:</p> <ul> <li>data_fig{number}_{param}_{value}.txt</li> </ul> <p>where {number} specifies the number of the figure in the paper, {param} is the parameter that is studied and {value} denotes its numerical value (see the paper for details).</p> <p>&nbsp;</p> <p><strong>File content:</strong> Each datafile contains 1 header line, in which the meaning of the data-columns are explained (time, S2, N*, lambda*&nbsp; --&nbsp; see paper for details), and the studied parameter and its value are listed. After this header line, the data is presented in tab-delimited columns.</p> <p>&nbsp;</p> <p>For further details, the reader is referred to the paper mentioned above.</p>

opencc-by-4.0Jun 2022View details →
dryad40/100

Data from: The effect of external flow on 3D orientation of a microscopic sessile suspension feeder, Vorticella convallaria

<p><em>Vorticella convallaria</em> are microscopic sessile suspension feeders that live attached to substrates in aquatic environments. They feed using a self‐generated current and help maintain the health of aquatic ecosystems and wastewater treatment facilities by consuming bacteria and detritus. Their environmental impact is mediated by their feeding rate. In ambient flow, feeding rates are highly dependent on an individual's orientation relative to the substrate and the flow. Here, we investigate how this orientation is impacted by flow speed. Furthermore, we examined whether individuals actively avoid orientations unfavorable for feeding. We exposed individuals to unidirectional laminar flow at shear rates of 0, 0.5, 1.0, and 1.5 s<sup>−1</sup>, and recorded their 3D orientation using a custom biplanar microscope. We determined that <em>V. convallaria</em> orientation became progressively tilted downstream as the shear rate increased, but individuals were still able to actively reorient. Additionally, at higher shear rates, individuals spent a larger fraction of their time in orientations with reduced feeding rates. Our shear rates correspond to freestream flows on the scale of mm s<sup>−1</sup> to cm s<sup>−1</sup> in natural environments.</p>

opencc-zeroDec 2023View details →
zenodo40/100

Full-length HTT purification from HEK293T suspension culture using baculovirus transduction protocol for over-expression 2018/04/02

<p>Structure-function open lab notebook project.&nbsp;Full-length HTT purification from HEK293T suspension culture using baculovirus transduction protocol for over-expression 2018/04/02.</p>

opencc-by-4.0Apr 2018View details →
zenodo40/100

Replication Data for: Achieving Liquid Processors by Colloidal Suspensions for Reservoir Computing

<p>Overview</p> <p>This README provides instructions for accessing and managing the SQLite database digits_channel_A.db, digits_channel_B.db, and digits_channel_C.db which contains the recordings for all the channels A, B, and C of the digital oscilloscope. The database includes a table named digits_data with information about each recording, including metadata and audio data.</p> <p><br>Database Schema<br>Table: digits_data</p> <p>&nbsp; &nbsp; id: INTEGER PRIMARY KEY<br>&nbsp; &nbsp; A unique identifier for each record.</p> <p>&nbsp; &nbsp; person_id: INTEGER<br>&nbsp; &nbsp; Identifier for the person associated with the recorded digit.</p> <p>&nbsp; &nbsp; digit: INTEGER<br>&nbsp; &nbsp; The digit recorded (0-9).</p> <p>&nbsp; &nbsp; repeat: INTEGER<br>&nbsp; &nbsp; The repeat count of the recording.</p> <p>&nbsp; &nbsp; audio: BLOB<br>&nbsp; &nbsp; Binary Large Object to store audio data.</p> <p>Prerequisites</p> <p>&nbsp; &nbsp; Python 3.x<br>&nbsp; &nbsp; sqlite3 library (included with Python standard library)</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation

<p>This was underlying data&nbsp;as part of the article &quot;Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation&quot;</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov40/100

An Extension Study to Evaluate Maintenance of Efficacy and Long-term Treatment Effect of Oral Budesonide Suspension (OBS) in Adults and Adolescents With Eosinophilic Esophagitis (EoE)

ClinicalTrials.gov study NCT02736409. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov40/100

Continuation Study With Budesonide Oral Suspension (BOS) for Adolescent and Adult Participants With Eosinophilic Esophagitis (EoE)

ClinicalTrials.gov study NCT03245840. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View 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