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5,371 results for “Flow”
Ki-67 and Bcl-2 data by flow cytometry in non-malignant bone marrow aspirates and patients with myeloid malignancies
<p>This Data in Brief article displays a flow cytometric assay that was used for the acquisition and analyses of proliferative and anti-apoptotic activity in hematopoietic cells. This dataset includes analyses of the Ki-67 positive fraction (Ki-67 proliferation index) and Bcl-2 positive fraction (Bcl-2 anti-apoptotic index) of the different myeloid bone marrow (BM) cell populations in non-malignant BM, and in BM disorders, i.e. myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). The present dataset comprises 1) the percentage of the CD34 positive blast cells, erythroid cells, myeloid cells and monocytic cells, and 2) the determined Ki-67 positive fraction and Bcl-2 positive fraction of these cell populations in tabular form. This allows the comparison and reproduction of the data when these analyses are repeated in a different setting. Because gating the Ki-67 positive and Bcl-2 positive cells is a critical step in this assay, different gating approaches were compared to determine the most sensitive and specific approach. BM cells from aspirates of 50 non-malignant, 25 MDS and 27 AML cases were stained with 7 different antibody panels and subjected to flow cytometry for determination of the Ki-67 positive cells and Bcl-2 positive cells of the different myeloid cell populations. The Ki-67 or Bcl-2 positive cells were then divided by the total number of cells of the respective cell population to generate the Ki-67 positive fraction (Ki-67 proliferation index) or the Bcl-2 positive fraction (Bcl-2 anti-apoptotic index). The presented data may facilitate the establishment and standardization of flow cytometric analyses of the Ki-67 proliferation index and Bcl-2 anti-apoptotic index of the different myeloid cell populations in non-malignant BM as well as MDS and AML patients in other laboratories. Directions for proper gating of the Ki-67 positive and Bcl-2 positive fraction are crucial for achieving standardization among different laboratories. In addition, the data and the presented assay allows application of Ki-67 and Bcl-2 in a research and clinical setting and this approach can serve as the basis for optimization of the gating strategy and subsequent investigation of other cell biological processes besides proliferation and anti-apoptosis. These data can also promote future research into the role of these parameters in diagnosis of myeloid malignancies, prognosis of myeloid malignancies and therapeutic resistance against anti-cancer therapies in these malignancies. As specific populations were identified based on cell biological characteristics, these data can be useful for evaluating gating algorithms in flow cytometry in general by confirming the outcome (e.g. MDS or AML diagnosis) with the respective proliferation and anti-apoptotic profile of these malignancies. The Ki-67 proliferation index and Bcl-2 anti-apoptotic index may potentially be used for classification of MDS and AML based on supervised machine learning algorithms, while unsupervised machine learning can be deployed at the level of single cells to potentially distinguish non-malignant from malignant cells in the identification of minimal residual disease. Therefore, the present dataset may be of interest for internist-hematologists, immunologists with affinity for hemato-oncology, clinical chemists with sub-specialization of hematology and researchers in the field of hemato-oncology.</p>
Channel flow with hydrodynamically controlled benthic-pelagic coupled oxygen fluxes
<p>This dataset was used for the manuscript "Hydrodynamic control of sediment-water fluxes: Consistent parameterization and impact in coupled benthic-pelagic models" by Umlauf et al. (2023, JGR Oceans, <a href="https://doi.org/10.1029/2023JC019651" target="_blank" rel="noopener">10.1029/2023JC019651</a>).</p>
Characterization of the flow through innovative permeable fairings at the VKI WAABLIEF facility
<p>Aircraft-noise mitigation is a significant issue in the aviation industry due to the operation and expansion of airports and the growth of residential areas surrounding them. Take-off and landing are considered critical phases of a flight path regarding the noise impact. During a typical approach, the airframe noise has become a dominant noise source as the engine noise has been reduced after intensive studies performed for decades. Landing gears (LGs) are among the main contributors to the generation of this noise source, and one of the promising noise-reduction technologies (NRTs) that have been proposed consists of placing flow-permeable fairings in front of them. However, the development of these NRTs is limited due to the strong integration constraints imposed by the other disciplines and the lack of knowledge of the complex flow physics involved in the problem.</p> <p>The project INVENTOR, funded by the European Union in the framework of the H2020 MG-1-5-2019 call ”Advancements in aerodynamics and innovative propulsion systems for quieter and greener aircrafts” (Grant Agreement number: 860538), aims to fill this scientific gap and understand the noise generated by LGs integrated with porous fairings through numerical methods. Nevertheless, these flow-permeable materials must be modeled and validated through measurements to obtain high-accuracy numerical predictions. Therefore, the objective of the present submission is to provide an extensive experimental dataset of the characterization of the flow through fairings fitted with innovative porous materials. The measurement campaign has been carried out at the WAABLIEF facility of the von Karman Institute for Fluid Dynamics (VKI) and contains particle-image-velocimetry, hot-wire-anemometry, and total-pressure measurements at different flow speeds and with several materials. The document attached to the dataset includes all the information required to numerically reproduce the VKI experimental setup.</p>
Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow
<p>The samples are datasets used for testing in the scenarios: baseline (corr0.hdf5), correlation of 0.5 (corr50.hdf5), correlation of 1.0 (corr100.hdf5), and asymmetric detector responses (asymmetric.hdf5). Each file contains the conditional variables, generated and simulated detector responses, and generated and simulated reconstruction-level variables. </p>
Antimicrobial MMs - Flow Cytometry
<p>Flow cytometry data subset. Acquired using a Sony SA3800 spectral analyzer (Sony Biotechnology, CA, USA).</p>
Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems
<p>This dataset contains SUTRA input file and training image that used in our research paper "Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems".</p>
Analysis scripts and PFLOTRAN input files for "Impacts of permeability heterogeneity and background flow on supercritical CO2 dissolution in the deep subsurface"
<p>Supporting files for manuscript <em>Impacts of permeability heterogeneity and background flow on supercritical CO2 dissolution in the deep subsurface </em>(preprint published at https://arxiv.org/abs/2305.12575).</p> <p>Contents:</p> <ul> <li>PFLOTRAN input files (*.in) for the simulations that were used in the manuscript.</li> <li>The corresponding heterogeneous permeability fields for those simulations (*.h5).</li> <li>The CO2 property database for use with the PFLOTRAN MPHASE module.</li> <li>Python scripts for generation of the random fields and quantification of uptake rate.</li> <li>Jupyter notebooks for generation of summary figures.</li> <li>Excel spreadsheet summarizing the output of each of the simulations.</li> </ul>
Transcriptome data from silica-preserved leaf tissue reveals gene flow patterns in a Caribbean bromeliad
<p>Transcriptome sequencing is a cost-effective approach that allows researchers to study a broad range of questions. However, to preserve RNA for transcriptome sequencing, tissue is often kept under special conditions, such as immediate ultracold freezing. Here, we demonstrate that RNA can be obtained from six-month-old, field-collected samples stored in silica gel at room temperature. Using these transcriptomes, we explore the evolutionary relationships of the genus Pitcairnia (Bromeliaceae) in the Dominican Republic and infer barriers to gene flow.</p>
Data for: A Modular Double Electrode Flow Cell with Exchangeable Generator and Detector Electrodes
<p>Raw data and processed data shown in figures of the publication titled:</p> <p>"A Modular Double Electrode Flow Cell with Exchangeable Generator and Detector Electrodes"</p> <p>DOI: <a href="https://doi.org/10.1002/celc.202300126">10.1002/celc.202300126</a></p> <p>by</p> <p>Frederik J. Stender<sup>[a]</sup>, Keisuke Obata<sup>[b]</sup>, Max Baumung<sup>[a,c]</sup>, Fatwa F. Abdi<sup>[b]</sup>, Marcel Risch<sup>[a,c]</sup></p> <p>[a] Frederik Johannes Stender, Max Baumung, Dr. Marcel Risch<br> Institut für Material Physik<br> Georg-August-Universität Göttingen<br> Friedrich-Hund-Platz 1, 37085 Göttingen<br> E-mail: mrisch@material.physik.uni-goettingen.de</p> <p>[b] Dr. Keisuke Obata, Dr. Fatwa Firdaus Abdi<br> Institut für Solare Brennstoffe<br> Helmholtz-Zentrum Berlin für Materialien und Energie GmbH<br> Hahn-Meitner-Platz 1, 14109 Berlin</p> <p>[c] Dr. Marcel Risch<br> Nachwuchsgruppe Gestaltung des Sauerstoffentwicklungsmechanismus<br> Helmholtz-Zentrum Berlin für Materialien und Energie GmbH<br> Hahn-Meitner-Platz 1, 14109 Berlin<br> E-mail: marcel.risch@helmholtz-berlin.de</p>
Effect of stochastic deformation on the vibration characteristics of a tube bundle in axial flow: code and data
<p>These files accompany the following publication:</p> <p>Dolfen, H., Vandewalle, S., & Degroote, J. (2023). Effect of stochastic deformation on the vibration characteristics of a tube bundle in axial flow. Nuclear Engineering and Design, 411, 112412. <a href="https://doi.org/10.1016/j.nucengdes.2023.112412">doi:10.1016/j.nucengdes.2023.112412</a>.</p> <p>In this publication the effect of a stochastic bow deformation on the vibration characteristics of a tube bundle was investigated. The Monte Carlo and generalized Polynomial Chaos (gPC) method were used. For the latter method, the <a href="https://chaospy.readthedocs.io/en/master/">chaospy Python-package</a> was used. Further dependencies include the numpy, scipy and matplotlib Python packages. The gPC was benchmarked with the Monte Carlo method on a steady CFD case. The the gPC was used on an FSI case used to extract the output quantity of interest, the vibration characteristics. This FSI case was run in the open-source code <a href="https://github.com/pyfsi/coconut">CoCoNuT</a>. This code developed at Ghent University is Python-based and has the capability to couple existing solvers, both open-source and commercial solvers.</p> <p>The archive includes scripts to set-up the steady CFD case as well as the FSI case, the used version of CoCoNuT and some post-processing scripts. ReadMe files are provided to explain the files, and what adjustments are likely needed to make it work on a different system. For CoCoNuT to work, the 'coconut' folder should be added to the PYTHONPATH environment variable. For requirements to run CoCoNuT, refer to the <a href="http://pyfsi.github.io/coconut/">documentation</a>.</p>
Dataset on flow dynamics in rivers with riffle-pool morphology: results from case studies and field experiments on the Tagliamento River, Italy
<p>Riffle-pool sequences in rivers, formed due to interactions between river flow, alluvium and vegetation, provide vital ecological services to aquatic organisms and therefore are considered as fundamental habitats in fluvial ecosystems. Nevertheless, the knowledge of associated riffle-pool hydrodynamics is limited because of a lack of high-resolution data collected in rivers and scaling effects present in laboratory studies. Here we present a dataset on turbulent flow structure in riffle-pool sequences of a natural river. Two case studies and two field-based experiments were carried out in a side branch of the braided gravel-bed Tagliamento River in Italy. Our case studies deliver detailed information about the there-dimensional structure of mean and turbulent flows in natural riffle-pool/run and pool-riffle/glide transitions. Field-based experiments completed with the in-stream flume models of a riffle-pool transition and a shallow jet model provide a methodological bridge for linking simplified hydrodynamic theories of shallow jets to complex flow structure documented by our case studies. Therefore, this dataset enables examination of scaling effects and can be widely used for validation of numerical models.</p> <p> </p>
Image bank to use with the Resource Flow Mapping tool when implementing the Clean and Green framework
<p>This image bank consists of a set of 116 images that can be used together with the Resource Flow mapping tool and other sensitization tools when implementing the Clean and Green framework as part of rural sanitation programs. The image bank consists of a wide range of images including everything from images depicting the use of various types of ecological sanitation toilets to the use of excreta-derived products in agriculture. All the images have a white background, and hence can be used in a variety of media and contexts. Each image has a descriptive file name. The images can be downloaded individually, or collectively by downloading the "Images.zip" file. The image bank was developed as part of the Clean and Green framework project at the Stockholm Environment Institute, in collaboration with WaterAid Burkina Faso. Learn more: https://www.sei.org/projects-and-tools/projects/clean-and-green/ </p> <p> </p>
Wave, Flow, and Sediment Dynamics under Strong Winds on a tidal beach
<p>The data are saved as matlab data file.</p> <p>1) ssc_fit.mat is used for producing figure 2.</p> <p>2) Reynolds_shear_stress.mat is used for producing figures 3 and 10.</p> <p>3) hydrodynamics.mat is used for producing figure 4.</p> <p>4) shear_stress_&_ssc.mat is uesd for producing figures 5 and 8.</p> <p>5) SSF.mat is used for producing figures 6 and 11.</p> <p>6) breaking_wave_criteria.mat is used for producing figure 7.</p> <p>7) mob_number.mat is used for producing figure 9.</p>
Ice-Flow Perturbation Analysis: A method to estimate ice-sheet bed topography and conditions from surface datasets (data)
<p>This dataset accompanies the paper 'Ice-Flow Perturbation Analysis: A method to estimate ice-sheet bed topography and conditions from surface datasets' in Journal of Glaciology, and can be used alongside the provided code to reproduce the figures,</p>
On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors
<p>Dataset of the journal article "On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors", article DOI: 10.1002/admt.202300127</p>
Energetic Particle Injection during Short Isolated Bubble as seen in RCM Simulation and Spacecraft Observations in the Flow Braking Region
<p>The names of the RCM simulation output files specify the simulation time in a format of "hhmmss". The stored quantities are, "I","J","COLAT","ALOCT","MLT","BNDLOC","XMIN","YMIN","FTV","BMIN","V", "BIRK_fromV(NH)","P(RCM),nPa", "PV_gamma","Vtotx", "Vtoty","Vx_exb","Vy_exb","vel_x","vel_y","Ey","PEDLAM", "PEDPSI", "HALL", "RCM_T_p","RCM_T_e","RCM_N_e","EFLUX","EAVG","f_i_50-75","f_i_75-125","f_i_125-200","f_i_200-300","f_e_50-75","f_e_75-125","f_e_125-200","f_e_200-300","Vm","dbxdz","dbydz","dbrdz","dbzdx","dbzdy".<br> For the first hour of substorm-growth-phase-like quasi-steady convection, we uploaded the RCM simulation output files at 1-minute intervals. Then, the RCM output files were uploaded at 20-second intervals for the next 7 minutes of bubble injection, and at 1-minute intervals for the rest of the simulation.</p>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
Flow velocity measured from MacKay River Estuary, Georgia, USA
<p><strong>Title: </strong>Flow velocity measured from MacKay River Estuary, Georgia, USA</p> <p><strong>Author: </strong>Li, Chunyan</p> <p><strong>Contact/PI: </strong>Li, C. (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>The data provided here are measured flow velocity profiles from a moving vessel in the MacKay River Estuary in Georgia, USA. The survey was done on March 31 16, 2003. Time is UTC.</p> <p>There is only 1 file. The instrument was a 1200 kHz RDI ADCP. The file is in ASCII format. It is output from the RDI’s program WinRiver II. The file name is:</p> <p>March31_MackayRiver002_ASC.TXT</p>
Flow cytometry data (Multiclonal Experiments 1-3)
<p>Flow cytometry data from publication:</p> <blockquote> <p>Claus-Peter Stelzer, Maria Pichler, Peter Stadler, Genome streamlining and clonal erosion in nutrient-limited environments: a test using genome-size variable populations, <em>Evolution</em>, Volume 77, Issue 11, November 2023, Pages 2378–2391, <a href="https://doi.org/10.1093/evolut/qpad144">https://doi.org/10.1093/evolut/qpad144</a></p> </blockquote> <p>Please cite this study when using this data.</p> <p><strong>Multiclonal experiments</strong></p> <p>Experiment 1: 11.10.2017 - 22.11.2017</p> <p>Experiment 2: 15.02.2018 - 19.04.2018</p> <p>Experiment 3: 18.04.2018 - 05.07.2018</p>
A Benchmark Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis with Numerical Simulations
<p>This data is associated with <strong>(a) Figure 3.</strong> Comparison between the velocities obtained through analytical calculations and those estimated numerically, and <strong>(b) Figure 4.</strong> Comparison of the BTCs obtained through analytical calculations and those estimated numerically.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.