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2,216 results for “membrane”
Extended Data Figure 1 in A bizarre Jurassic maniraptoran theropod with preserved evidence of membranous wings
Extended Data Figure 1 | Fossil-bearing beds of the Middle–Upper Jurassic Tiaojishan Formation in Qinglong County, Hebei. The Mutoudeng Locality (top) and Gangou Locality (bottom) are geographically close to each other (approximately 20 km apart) and very similar in their sedimentology and fossil content. The bottom image shows an excavation we organized at the Gangou Locality.
Extended Data Figure 8 in A bizarre Jurassic maniraptoran theropod with preserved evidence of membranous wings
Extended Data Figure 8 | Scanning electron microscopy sample locations. Numbered circles indicate the locations of samples from the slab and counter slab. 1, distal part of cranial feathers; 2, middle part of tibial feathers; 3, distal part of humeral feathers; 4, distal part of ulnar feathers; 5, proximal part of cranial feathers; 6, proximal part of neck feathers; 7, distal part of humeral feathers; 8, distal part of humeral feathers; 9 and 10, membranous soft tissue near digit II; 11, membranous soft tissue near digit IV; 12, middle part of tibial feathers.
Simulation data for the article ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes" - Set3
<p>First set of simulation trajectories and input files for the manuscript ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes".</p> <p>System: DPPC + n-triacontane (CHARMM36); 288 DPPC, 19 water molecules per lipid, 343K</p> <p>Numbers of n-triacontane molecules are given in the file names.</p> <p>Simulations consisted of three 100ns runs, an .xtc trajectory is only included for the final run. Trajectories were created with -dt 10(ps) and -pbc nojump, as used for analysis in the manuscript. Solvent molecules were removed from the trajectories for file size reduction.</p>
Simulation data for the article ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes" - Set1
<p>First set of simulation trajectories and input files for the manuscript ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes".</p> <p>Systems: DPPC + n-decane (CHARMM36); 72 DPPC, 7 water molecules per lipid, 333K unless otherwise noted in the file names.</p> <p>Numbers of n-decane molecules are given in the file names.</p> <p>Simulations consisted of three 100ns runs, an .xtc trajectory is only included for the final run. Trajectories were created with -dt 10(ps) and -pbc nojump, as used for analysis in the manuscript. Solvent molecules were removed from the trajectories for file size reduction.</p>
Simulation data for the article ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes" - Set2
<p>First set of simulation trajectories and input files for the manuscript ,,Filling the gap with long n-alkanes: incorporation of C20 and C30 into phospholipid membranes" (submitted to Langmuir, under peer-review).</p> <p>System: DPPC + n-eicosane (CHARMM36); 72 DPPC, 18 water molecules per lipid, 333K, unless otherwise noted in the file name.</p> <p>Numbers of n-eicosane molecules are given in the file names.</p> <p>Simulations consisted of three 100ns runs, an .xtc trajectory is only included for the final run. Trajectories were created with -dt 10(ps) and -pbc nojump, as used for analysis in the manuscript. Solvent molecules were removed from the trajectories for file size reduction.</p>
Data for: Separation of oil vapor by polyether block amide composite membrane modified with porous materials
<p>The ability of membranes to separate oil vapor is affected by their permeance and selectivity. This study modifies polyether block amide (PEBA) composite membranes with a microporous zeolite, Silicalite-1, or a mesoporous zeolite, MCM-41. The results show that when PEBA composite membranes are modified with these zeolites, the selective layer of the composite membrane is coated more thinly, resulting in a higher flux of organic gas. Silicalite-1 increases the hydrophobicity of the membrane, which facilitates the adsorption of organic vapor on the membrane surface, thus improving the membrane selectivity. In the separation of oil vapor, both modified membranes can effectively increase the gas permeabilities and selectivities. The main mechanism governing gas transport in the MCM-41-modified membrane is Knudsen diffusion, so the selectivity for small molecules is improved more significantly. By contrast, the dissolution–diffusion mechanism is dominant in the Silicalite-1-modified membranes, which considerably increases the selectivity for large molecules.</p>
Data Set (Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022)
<p>Data Set for the following publication.</p> <p>Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022.</p>
Source data for "Membrane curvature sensing and symmetry breaking of the M2 proton channel from Influenza A"
<p>Data files for Figures 2 and 3. </p>
TPP binding to POPC membrane, CHARMM36-QMcharges, 277 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-ProteinFF, 138 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges, 138 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-ProteinFF-ECC, 277 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-ProteinFF, 277 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-ProteinFF-ECC, 416 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-Literature-ECC, 277 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-Literature-ECC, 138 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-Literature, 416 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-Literature, 277 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-Literature, 138 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</p>
TPP binding to POPC membrane, CHARMM36-QMcharges-ECC, 416 mM, 298 K
<p>System info in README.yaml, including basic analysis - headgroup OP, averaged APL and repead distance, analysis performed only from eqilibrated part of the simulation, marked as "BINDINGEQ"</p> <p>here:</p> <p>FILES:<br> xtc:<br> NAME: [name]<br> SIZE: [MB]<br> MODIFIED: [yyyy-mm-dd time]<br> LENGTH: [ps]<br> SAVING_FREQUENCY: [ps]<br> BEGIN: [ps] - how much of the simulation was simulated before and is excluded</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.