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2,216 results for “membrane”
PART-1: Dataset for journal: "On the fluid-structure interaction of flexible membrane wings for MAVs in and out of ground-effect"
<p>Complementary file for the attached files<br> Written 24-04-2017<br> by Robert Bleischwitz (modellwerft@freenet.de)</p> <p>General Comments</p> <p>0.) This specific upload contains PART-1 of the full dataset</p> <p>1.) The attached data relates to experimental windtunnel measurements on passive membrane wings for MAVs. The data was aquired between 2012-2016 at the University of Southampton, involving Robert Bleischwitz as PhD student, who was supervised by Roeland de Kat and Bharathram Ganapathisubramani.</p> <p>2.) The attached data is given time-resolved and time-synchronised at 800Hz over a imaging-period of 5000 images, involving load measurements via a 6-axis load-cell ATI Nano17 /25N, deformation measurements via Digitial Image Processing (DIC) and planar flow measurements via two side-by-side cameras. </p> <p>3.) More setup and processing details can be found in the paper "On the fluid-structure interaction of flexible membrane wings for MAVs in and out of ground-effect" (2017) by the authors R. Bleischwitz, R. de Kat, B. Ganapathisubramani<br> Published in the Journal of Fluids and Structures (http://www.sciencedirect.com/science/article/pii/S088997461630370X)</p> <p>4.) All load/deformation/flow folders contain a README.txt(Use 1st) and Instructions.m (Use 2nd) file, which give further supporting details how to illustrate the data</p> <p>5.) This specific upload contains PART-1 of the full dataset, including introduction file + rigid flat-plate case (Load+PIV measurements) as reference to membrane wing case (PART-2)</p>
Full dataset for journal: "On the fluid-structure interaction of flexible membrane wings for MAVs in and out of ground-effect"
<p>0.) Version: 18.May 2017</p> <p>1.) The attached data relates to experimental windtunnel measurements on passive membrane wings for MAVs. The data was aquired between 2012-2016 at the University of Southampton, involving Robert Bleischwitz as PhD student, who was supervised by Roeland de Kat and Bharathram Ganapathisubramani.</p> <p>2.) The attached data is given time-resolved and time-synchronised at 800Hz over a imaging-period of 5000 images, involving load measurements via a 6-axis load-cell ATI Nano17 /25N, deformation measurements via Digitial Image Processing (DIC) and planar flow measurements via two side-by-side cameras. </p> <p>3.) More setup and processing details can be found in the paper "On the fluid-structure interaction of flexible membrane wings for MAVs in and out of ground-effect" (2017) by the authors R. Bleischwitz, R. de Kat, B. Ganapathisubramani<br> Published in the Journal of Fluids and Structures (http://www.sciencedirect.com/science/article/pii/S088997461630370X)</p> <p>4.) All load/deformation/flow folders contain a README.txt(Use 1st) and Instructions.m (Use 2nd) file, which give further supporting details how to illustrate the data</p> <p>5.) This specific upload is zipped and contains all necessary files to reconstruct the time-resolved dataset.</p>
Lab-scale membrane bioreactor (MBR) high-frequency online data
<p>This dataset is composed of 4 periods of more or less continuous operation, but with varying length. The measured online data, with a frequency of per second, are stored chronologically in 4 compressed csv-files 'Data_MBR_Period_x'. The installation was running with some fixed and variable settings. The variable settings are stored in 'Settings_MBR'. They were only logged when changed, making this a small file. All additional information on the used sensors etc. is listed in the 'Metadata'-file, including the values of the fixed settings. Finally, 'Schematic.png' gives an overview of the MBR setup and the location of the sensors.</p>
pLMMoRF: A web server that accurately predicts membrane-interacting molecular recognition features by employing a protein language model
<p>pLMMMoRF predictor scrips and MemMoRF prediction of the human proteome.</p>
The temperature profile on a silicon-patterned membrane - Fig.3 Dataset
<p>This is the data set used to generate Fig.3 in the paper https://doi.org/10.1103/PRXQuantum.4.040314</p>
Coordinate files from LipIDens: Simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins.
<p>Coordinate files from the first and last frame of coarse-grained (CG) and atomistic (AT) molecular dynamics (MD) simulations used throughout the LipIDens pipeline.</p><p>CG simulations were run for HHAT, OTOP1, ELIC, MscS, TRPV6, ChRmine, Ste2, Connexin-50, NPC1 and the PAT complex. All CG simulations were run for 10 x 15 μs with the exception of NPC1 which was simulated for 10 x 30 μs.</p><p>AT simulations were run for HHAT (5 x 200 ns) and ELIC (3 x 200 ns) in apo configurations.</p><p><strong>File description:</strong></p><p>Directories for each protein are listed with the suffix CG or AT used to indicate the simulation resolution. </p><p>md_fit_firstframe_<i>X</i>.gro - GROMACS structure file for the first frame of replicate <i>X</i>. </p><p>md_fit_lastframe_<i>X</i>.gro - GROMACS structure file for the last frame of replicate <i>X</i>. </p>
Direct laser-written optomechanical membranes in fiber Fabry-Perot cavities
<p>Data for "Direct laser-written optomechanical membranes in fiber Fabry-Perot cavities".</p>
Data from: A myristoyl switch at the plasma membrane triggers cleavage and oligomerization of Mason-Pfizer monkey virus matrix protein
<p>Here we present NMR and MS data used in article A myristoyl switch at the plasma membrane triggers cleavage and oligomerization of Mason-Pfizer monkey virus matrix protein. NMR data contain full set of assignment experiments used to partially assign signals of non-myristoylated wt M-PMV MAPPHis, H-N HSQC spectra or myristoylated M-PMV MAPPHis wt, A79V and I51A mutants and results from TALOS+ program used to calculate the secondary structure of C-terminal part of both mristoylated and non-myristoylated wt MAPPHis. The MS data contain MS data measured both for non-labeled samples of myristoylated M-PMV MAPPHis wt, A79V and I51A mutants and non-myristoylated MAPPHis, as well as data measured on these proteins after deuterium exchange.</p>
Membrane mesh and tomogram of the Chlamydomonas chloroplast
<p>Membrane mesh and tomogram of the Chlamydomonas chloroplast. These data were originally published in <a href="https://doi.org/10.7554/eLife.53740">Wietrzynski and Schaffer et al., eLife, 2020</a>. The tomograms were accessed from <a href="https://www.ebi.ac.uk/emdb/EMD-10780">EMD-10780</a>.</p>
Mechanistic principles of hydrogen evolution in the membrane-bound hydrogenase
<p>Optimized coordinates of DFT models of the [NiFe] active-site from the membrane-bound hydrogenase</p> <p>Table of contents<br>1. Ni-SIa state<br>2. Ni-L and Ni-C state<br>3. Ni-R state<br>4. Ni-SIa state (with His75+)<br>5. Ni-L and Ni-C state (with His75+)<br>6. Ni-R state (with His75+)<br>7. [NiFe] active-site from DvMF in the Ni-R state (Geometries optimized using various DFT functional)</p>
Membrane mesh and tomogram with SARS-CoV-2 intact virions
<p>Membrane mesh and tomogram with SARS-CoV-2 intact virions. These data were originally published in <a href="http://dx.doi.org/10.1038/s41586-020-2665-2">Ke et al., Nature, 2020</a>. The tomograms were accessed from the <a href="https://cryoetdataportal.czscience.com/runs/467?prev=%2Fdatasets%2F10006%3Fprev%3D%252Fbrowse-data%252Fdatasets">Cryo-ET Data Portal</a>. Raw data is available from <a href="https://doi.org/10.6019/EMPIAR-10493">EMPIAR-10493</a>. The membrane segmentation was created using <a href="https://doi.org/10.1101/2024.01.05.574336">MemBrain-seg</a>.</p>
Multifaceted Activity of Fabimycin: Insights from Molecular Dynamics Studies on Bacterial Membrane models
<p>This dataset presents a comprehensive collection of input data for Molecular Dynamics (MD) simulations performed using the GROMACS simulation software. The included systems cover various membrane environments, each with distinctive properties. The systems consist of:</p> <ol> <li><strong>IM (Inner Membrane):</strong> Simulations involving the bacteral mimicking inner membrane environment.</li> <li><strong>IM_OM (Inner Membrane and Outer Membrane Complex):</strong> Complex systems encompassing both inner and outer bacterial membrane models.</li> <li><strong>OM_D (Double Symmetric Outer Membrane):</strong> Simulations featuring a symmetric outer membrane structure.</li> <li><strong>OM (Asymmetric Outer Membrane):</strong> Simulations with an asymmetric outer membrane configuration.</li> <li><strong>PC Membrane (Phosphatidylcholine Membrane):</strong> Simulations involving membranes composed of phosphatidylcholine.</li> </ol> <p>For each membrane type, the dataset provides three replicas. The dataset includes initial and final structures (.gro files), simulation parameter files (.mdp), index files (.ndx), and topology files (.itp and .top) applicable to all systems. </p>
Pure Water Permeance and Zeta Potential Data of Modified Ultrafiltration Membranes
<p>The data presented here belong to the journal article: <a title="DOI URL" href="https://doi.org/10.1021/acsami.3c18805">https://doi.org/10.1021/acsami.3c18805</a> </p> <p>The datasets contain pure water permeance and zeta potential data of electron beam-modified polymer membranes. The data were used as training data for machine learning models. Additionally, measured data for result comparison are presented.</p>
Data sets to the paper "Weakening surface hydrogen to enhance permeation in hydrogen selective membranes", E. Billeter and A. Borgschulte, Appl. Surf. Sci. (2024)
<p>Datasets to empirical data displayed in Figs. 1(c), 2(b), 3(a), 4(b), 4(c)</p>
Presentation in 45th ARO: Multiphoton imaging for 3-D morphometry and characterization of fiber structure of the full human tympanic membrane
<p>This is a poster presentation in t<span>he 45th Association for Research in Otolaryngology Mid-Winter Meeting 2022, and the image files used for the poster.</span></p>
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
Presentation in 46th ARO: Mesoscale Selective Plane-Illumination Microscopy for Thickness Map of Sub-Layers of the Human Tympanic Membrane
<p>This upload is for the poster presentation of Merlin Schär at the 46th Annual Midwinter Conference of the Association for Research in Otolaryngology on the development and application of mesoscale selective plane-illumination microscopy for imaging of the sublayers of the human tympanic membrane. The upload contains the poster, the related imaging data with corresponding metadata for scanning and image processing, as well as supplementary figures illustrating the stitching of subvolume scans and the merged 3D rendering.</p>
Characterizing Macroporous Ion Exchange Membrane Adsorbers for Natural Organic Matter (NOM) removal — Adsorption and Regeneration behavior
Open the record for dataset details and reuse information.
All-atom simulations elucidate the molecular mechanism underlying RNA-membrane interactions
<p>Topology files and frames extracted from the minimum of the free energy profile F(d_z) (or F(d_min) for single-stranded RNAs), within 2.5kBT. These files can be used to reproduce the hydrogen bond analyses in the manuscript.</p> <p>Scripts which were used to extract hydrogen bond information are available on <a href="https://github.com/salvatoredimarco/rna-membrane">https://github.com/salvatoredimarco/rna-membrane</a></p> <p><strong>Systems:</strong></p> <p>4xN: nucleosides</p> <p>4xN2: dinucleotides</p> <p>4xN3: trinucleotides</p> <p>4xN_OPC: nucleosides simulated with OPC water model. Energy threshold is here 1.0*kBT, because of weaker binding.</p> <p>1xGA, 1xGU, 1xGC, 1xCU</p> <p>1xGGC, 1xGCG</p> <p>1xquadruplex: G-quadruplex</p> <p>1xstrand: 19-mer RNA strand</p> <p>1xhairpin: 16-mer folded hairpin</p> <p>1x16mer_elong: 16-mer unfolded, restrained</p> <p>2x16mer_loose1/2: 16-mer unfolded, unrestrained</p>
Vesicles clustering around Wdr35-/- cilia lack electron dense decorations although electron-dense clathrin coated vesicles are still observed budding from the mutant plasma membrane (Figure 7- source data 1)
<p>Intraflagellar transport (IFT) is a highly conserved mechanism for motor-driven transport of cargo within cilia, but how this cargo is selectively transported to cilia is unclear. WDR35/IFT121 is a component of the IFT-A complex best known for its role in ciliary retrograde transport. In the absence of WDR35, small mutant cilia form but fail to enrich in diverse classes of ciliary membrane proteins. In <i>Wdr35 </i>mouse mutants, the non-core IFT-A components are degraded and core components accumulate at the ciliary base. We reveal deep sequence homology of WDR35 and other IFT-A subunits to α and ß' COPI coatomer subunits, and demonstrate an accumulation of 'coat-less' vesicles which fail to fuse with <i>Wdr35 </i>mutant cilia. We determine that recombinant non-core IFT-As can bind directly to<u> </u>lipids and provide the first <i>in-situ</i> evidence of a novel coat function for WDR35, likely with other IFT-A proteins, in delivering ciliary membrane cargo necessary for cilia elongation.</p>
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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.