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2,353 results for “channel”
IODP Expedition 397T RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
BK Channels activation by N-type Ca2+ channels in the dendrites of neocortical pyramidal neurons
<p>This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron dendrites in brain slices of the mouse.</p><p>Somatic electrophysiological and dendritic imaging recordings were done at 20 kHz. Imaging recordings were done with ~2.5 µm nm pixel resolution. These correspond to:</p><ul><li>Voltage imaging (Figures 1 and 7)</li><li>Calcium imaging (Figures 2,3 and 4).</li></ul><p>This dataset is used in the paper:</p><p>Blömer LA, Giacalone E, Abbas F, Filipis L, Migliore M, Canepari M. Kinetics and functional consequences of BK Channels activation by N-type Ca2+ channels in the dendrite of mouse neocortical layer-5 pyramidal neurons. bioRxiv, 2023 (https://www.biorxiv.org/content/10.1101/2023.10.26.564136v1).</p>
IODP Expedition 383 RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
USENIX'24 Artifact Datasets: With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors
<p>This dataset contains the measurements and analysis results for our USENIX Security '24 paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors'.</p>
IODP Expedition 378 RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
IODP Expedition 367 RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
Inhibition of striatal dopamine release by the L-type calcium channel inhibitor isradipine co-varies with risk factors for Parkinson's
<h3><strong>ABSTRACT</strong></h3> <p>Ca<sup>2+</sup> entry into nigrostriatal dopamine (DA) neurons and axons via L-type voltage-gated Ca<sup>2+</sup> channels (LTCCs) contributes respectively to pacemaker activity and DA release, and has long been thought to contribute to vulnerability to degeneration in Parkinson’s disease. LTCC function is greater in DA axons and neurons from substantia nigra pars compacta than from ventral tegmental area, but this is not explained by channel expression level. We tested the hypothesis that LTCC-control of DA release is governed rather by local mechanisms, focussing on candidate biological factors known to operate differently between types of DA neurons and/or be associated with their differing vulnerability to parkinsonism, including biological sex, α-synuclein, DA transporters (DATs), and calbindin-D28k (Calb1). We detected evoked DA release <em>ex vivo </em>in mouse striatal slices using fast-scan cyclic voltammetry, and assessed LTCC support of DA release by detecting the inhibition of DA release by the LTCC inhibitors isradipine or CP8. Using genetic knockouts or pharmacological manipulations we identified that striatal LTCC support of DA release depended on multiple intersecting factors, in a regionally and sexually divergent manner. LTCC function was promoted by factors associated with Parkinsonian risk, including male sex, α-synuclein, DAT, and a dorsolateral co-ordinate, but limited by factors associated with protection i.e. female sex, glucocerebrosidase activity, Calb1, and ventromedial co-ordinate. Together, these data show that LTCC function in DA axons, and isradipine effect, are locally governed and suggest they vary in a manner that in turn might impact on, or reflect, the cellular stress that leads to parkinsonian degeneration.</p> <p> </p> <h3><strong>FILE DESCRIPTIONS</strong></h3> <p>This repository contains the following files:</p> <ul> <li>Key Resources Table (.xlsx) - Table containing details on key lab materials (antibodies, mouse lines, and software), and the persistent identifiers for protocols and code used and generated in this study. </li> <li>Source Data (.xlsx) - Excel spreadsheet containing all tabular datasets plotted in Main Figures 1 to 5 (.xlsx).</li> <li>R_Scritps (.R) - Custom written R scripts to perform a classification tree analysis.</li> </ul>
Genome-wide association analyses identify novel Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility
<p>The Brugada syndrome GWAS summary statistics</p> <p>Brugada syndrome is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of <em>SCN5A</em>, encoding the cardiac sodium channel Na<sub>V</sub>1.5, susceptibility genes remain largely unknown. We performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with Brugada syndrome and 10,001 controls.</p> <p> </p>
Dataset of "Unveiling the gating mechanism of CRAC channel: a computational study"
<p>Molecular Dynamics simulation trajectories of CRAC ion channel. All of the trajectories can be visualized using the topology file CRAC_topol.prmtop. Three trajectories refer to equilibrium simulations of the closed state of the channel PDB: 4HKR (4HKR_equil_100ns.dcd) and of the two putative open states PDB: 6BBF (6BBF_equil_100ns.dcd) and PDB ID: 6AKI (6AKI_equil_100ns.dcd). The remaining two trajectories refer to Targeted Molecular Dynamics simulations steering the molecular system from the closed to the open state (TMD_C_to_O_100ns.dcd) and from the open to the closed state (TMD_O_to_C_500ns.dcd).</p> <p>All simulations have been performed with the NAMD 2.11b2 suite of programs using the Amber ff15ipq force field for the protein, the Lipid17 force field for the phospholipids and the SPC/E water model. </p> <p> </p> <p> </p>
Lagrangian statistics in turbulent channel flow
<p>A set of Lagrangian statistics of passive tracers in a turbulent channel flow. The particle trajectories are obtained by means of integration of a simulated flow field, computed via Direct Numerical Simulation, at four different Reynolds numbers. The Reynolds numbers here employed are <span class="math-tex">\(\mathrm{Re}_{\tau} = \frac{u_{\tau}\delta}{\nu} = 180,\,395,\,590,\,950\)</span>, where <span class="math-tex">\(u_{\tau}\)</span>is the frictional velocity, <span class="math-tex">\(\delta\)</span> is the channel half height and <span class="math-tex">\(\nu\)</span> is the kinematic viscosity.</p> <p>Additional information about the database is provided in the included documentation.</p> <p>v1.0 -> Added statistics at ReT = 950</p> <p>v1.1 -> Added statistics at ReT = [180, 395, 590]</p> <p>v1.2 -> Added statistics at ReT = 265</p>
Molecular Dynamics simulations suggest possible activation and deactivation pathways in hERG channel
<ol> <li>equil_gating_4_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 4 equilibration trajectory</li> <li>equil_gating_6_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 6 equilibration trajectory</li> <li>equil_gating_8_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 8 equilibration trajectory</li> <li>equil_gating_4.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 4</li> <li>equil_gating_6.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 6</li> <li>equil_gating_8.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 8</li> <li>equil_open_assembly_xleap.prmtop: file topology of the hERG open state equilibration trajectory</li> <li>equil_open.dcd: 100 ns NPT trajectory of the hERG open state</li> <li>herg_closed_gating_4.pdb: PDB file of hERG closed state with gating charge 4 after Steered MD simulations</li> <li>herg_closed_gating_6.pdb: PDB file of hERG closed state with gating charge 6 after Steered MD simulations</li> <li>herg_closed_gating_8.pdb: PDB file of hERG closed state with gating charge 8 after Steered MD simulations</li> <li>TMD_O-C_closed_gating_8_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 8 TMD trajectory</li> <li>TMD_O-C_closed_gating_6_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 6 TMD trajectory</li> <li>TMD_O-C_closed_gating_4_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 4 TMD trajectory</li> <li>TMD_O-C_closed_gating_8.dcd: TMD trajectory of the hERG closed state with gating charge 8</li> <li>TMD_O-C_closed_gating_6.dcd: TMD trajectory of the hERG closed state with gating charge 6</li> <li>TMD_O-C_closed_gating_4.dcd: TMD trajectory of the hERG closed state with gating charge 4</li> </ol> <p>MD trajectories (equilibration and Targeted MD trajectories) in dcd format can be visualized using visualization tools such as VMD or PyMol after uploading the topology file.</p> <p>The directory data_supplementary-note-4.tar.bz2 contains the files related to the Supplementary Notes 4: "A practical example of pathway calculation".</p>
ASVspoof2019LA-Sim: Augmented Dataset for An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
<p>This is the dataset we augmented to study the channel effects for anti-spoofing. For more details, please refer to our Interspeech 2021 paper: "An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems".</p> <p>Proceeding: <a href="https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html">https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html</a></p> <p>Arxiv: <a href="https://arxiv.org/pdf/2104.01320.pdf">https://arxiv.org/pdf/2104.01320.pdf</a></p> <p>Code: <a href="https://github.com/yzyouzhang/Empirical-Channel-CM">https://github.com/yzyouzhang/Empirical-Channel-CM</a></p> <p>Contact: you.zhang@rochester.edu</p> <p><strong>Version 1.0</strong> contains the <strong>training</strong> and the <strong>development</strong> set. We have added the <strong>evaluation</strong> set in <strong>version 1.1 </strong>but deleted the training set due to the size limitation, but you can still access the training set in version 1.0.</p> <p>Please check it out.</p> <p>To extract the files, please use the following commands:</p> <pre><code class="language-bash">cat eval.tar.gz-part* > eval.tar.gz tar -xvzf *.tar.gz</code></pre> <p>After concatenation, to make sure the download is complete, you can check with the following:</p> <pre><code>md5sum *.tar.gz 15dea7d28b126994bb6b159778f706af dev.tar.gz 0615052b34ca6c7f58505eaa8647844f eval.tar.gz 3058dd9d407f3c9ae697acca8c34a6c3 train.tar.gz</code></pre> <p>Thanks.</p>
Moment rate functios of shallow very low frequency earthquakes off the Cape Muroto and Kii Channel, along the Nankai Trough, Japan
<p>Moment rate functions of shallow very low frequency earthquakes (VLFEs) that occurred off the Cape Muroto and Kii Channel. A similar catalog but for southeast off the Kii Penisula can be downloaded from <a href="https://doi.org/10.5281/zenodo.5211090">https://doi.org/10.5281/zenodo.5211090 </a></p> <p>This data set is the supplement of "Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. <em>Geophysical Research Letters</em>, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a>"</p> <p><strong>Included files</strong></p> <ul> <li>YYYY-MM-DDThhmmssparam.stf<br> Parameter file for the Monte-Carlo-based simulated annealing estimation for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). Detection time, correlation coefficient, longitude, latitude, ratio (internal parameter), template index (internal parameter), assumed strike angle, dip angle, rake angle, source grid index (internal parameter), the number of the used stations, station list are included.</li> <li>YYYY-MM-DDThhmmss_STF.dat<br> Moment rate function for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). The optimal and original simulated annealing estimations are listed in the 2nd and 3rd columns, respectively. The time from the origin is represented in the 1st column</li> <li>VLFE_catalog.csv<br> CSV format file of Shallow VLFE catalog from Apr. 2004 to Mar. 2021. Origin time (JST), origin time (UTC), longitude (ºE), latitude (ºN), seismic moment (Nm), duration (s), VR (%), and Mw are listed.</li> <li>Data Set S1<br> CSV format file of shallow VLFE swarm catalog. Origin time (JST), epicenter locations, seismic moments, durations, moment magnitudes, VRs, and swarm indexes of each shallow VLFE. The “-” in the swarm index column means that this shallow VLFE does not belong to shallow VLFE swarms.</li> </ul> <p><strong>Citation</strong></p> <ul> <li>Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. <em>Geophysical Research Letters</em>, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a></li> <li>This data doi</li> </ul>
Brightness Temperature Variances from On-Planet Views in the A1–A3 Channels by the Mars Climate Sounder
<p>Heavens, Nicholas (2022), “Brightness Temperature Variances from On-Planet Views in the A1–A3 Channels by the Mars Climate Sounder”, Zenodo, V1, doi: 10.5281</p> <p>Title: Brightness Temperature Variances from On-Planet Views in the A1–A3 Channels by the Mars Climate Sounder</p> <p>Author: Nicholas G. Heavens, Space Science Institute, Boulder, CO, USA and London, UK (nheavens@spacescience.org)</p> <p>Date: 25 March 2022 </p> <p>Overview: This dataset contains an improvement and extension of significant data analysis products related to: </p> <p>Heavens, N.G., A. Pankine, J.M. Battalio, C. Wright, D.M. Kass, A. Kleinböhl, S. Piqueux, J.T. Schofield, 2022, Mars Climate Sounder Observations of Gravity-Wave Activity throughout Mars' Lower Atmosphere, Plan. Sci. J., 3, 57, doi: 10.3847/PSJ/ac51ce. </p> <p>These fall into three broad categories: diagnoses of detrended brightness temperature variance (GW) at 595–615 cm-1 (A1), 615–645 cm-1 (A2), and 635-665 cm-1 (A3) in individual views in the nadir or off-nadir by Mars Climate Sounder on board Mars Reconnaissance Orbiter; averages and other statistics of those diagnoses in space and time; and estimated gravity wave visibility functions for nadir, off-nadir, and nadir views with baselines like off-nadir views. This document presumes the manuscript is available to the dataset user.</p> <p>The purpose of archiving this dataset is to allow for comparison with a forthcoming analysis of gravity wave activity in limb observations by Mars Climate Sounder.</p> <p>The original dataset was published as:</p> <p>Heavens, Nicholas (2022), “Brightness Temperature Variances from On-Planet Views in the A1–A3 Channels by the Mars Climate Sounder”, Mendeley Data, V2, doi: 10.17632/5k6nybdy92.2</p> <p>The extension of the dataset consists of extension of the analysis time period to the end of January 2022 (MY 36, Ls=166.87).</p> <p>The improvement consists of a flag to indicate when an on-planet observations is likely to intersect a loop structure observed in the limb, and thus be contaminated by a high altitude cloud, which results in overestimate of gravity wave activity in the tropics at night during the clear season. Averages are now included that filter out flagged observations, as well as the original averages that include the flagged observations. </p> <p>If you are using this dataset and are feeling confused or wish there were some additional information from the article in this dataset, please contact me. A complete accounts of the contents and a restatement of this description is included as <em>MCS_OP_A13_GW_Analysis_Dataset_Documentation.pdf.</em></p> <p>Acknowledgments: The archiving of this dataset is supported by NASA’s Mars Data Analysis Program (80NSSC19K1215).</p>
Multi-channel seismic reflection profiles SALTFLU (Salt deformation and sub-salt fluid circulation in the Algero-Balearic abyssal plain) - Pre-Stack Kirchhoff Time & Depth Migration 2022
<p>This archive contains sections of reprocessed multi-channel seismic reflection profiles SALTFLU, acquired south of Ibiza (Spain) in 2012 with the OGS Explora (pre-stack Kirchhoff time and depth stacks, and migration velocities in SEG-Y format). It also contains the cruise report describing the survey acquisition in 2012. Connected articles describe the processing flow applied to this dataset and interpretations led by the first author. </p> <p>Field File Identification and Shot Numbers (FFID, SHOTNO) are linearly interpolated by matching the CMP numbers before and after migration. Bytes 73-76 and 77-80 are identical to bytes 181-184 and 185-188 and contain the CMP coordinates.</p> <p> </p> <p> </p> <p> </p>
Channeling: a new class of dissolution in complex porous media
<p>ModelAandBGeometries.7z contains the original 12,000 x 12,000 pixel geometries created for Models A and B in Menke et al. 2022 PNAS. They were subsequently binned by 12 in each direction and padded by 2 on all sides to get the 1,004 x 1,004 pixel geometries input into GeoChemFoam. The original location and radius of each bead is supplied in the .hdf5 file as 'rad', 'x_coor', and y_coor'. </p> <p>ModelA_Pe##_K##.hdf5 and ModelB_Pe##_K##.hdf5 contain all of the simulation results for each flow and reaction scenario. This includes porosity, permeability, time_s, concentration, velocity, pores, grains, throats, and moments for all output timesteps. Pore2 & throat2 denote analyses with the fully dissolved section of the model excluded. </p> <p>The model (GeoChemFoam) used to run these dissolution scenarios can be downloaded with tutorials at https://github.com/GeoChemFoam/. The script used to make the micromodel geometries can be found at https://github.com/hannahmenke/PNAS2022.</p>
Data underlying the article "Effect of Submergence on the Lateral Exchange between Groyne Fields and their adjacent Main Channel"
<p>The paper addresses the identification of the mechanisms that dominate the flow around a series of obstacles placed at the sidewall of a channel, representing fluvial groynes. Accordingly, 2D velocity fields were measured through Particle Image Velocimetry in a horizontal plane spanning the area between groynes and an adjacent portion of the main channel. Four experimental cases were performed, addressing two groyne separations and two submergence conditions (emerged and submerged). For the submerged case, the ratio water depth to groyne height was 1.3. Groyne separations were characterized according to the corresponding width-to-length ratio of the groyne field (lambda = W/L = 1 and 2). A complete description of the experimental conditions, objectives and outcomes can be found in the article.</p> <p>The following data is included:</p> <ol> <li>Meanfields_[case].csv: spanwise and streamwise components of the velocity field, velocity magnitude and uv component of the Reynolds stress tensor averaged over time.</li> <li>Reynoldsstressesprofiles_[case].csv: uv component of the Reynolds stress tensor averaged over time at selected transverse profiles.</li> <li>PSD_[case].csv: power spectral densities computed from fluctuating velocity series extracted at selected locations.</li> <li>Autoccorrelation_[case].csv: normalized transverse autocorrelation functions computed from fluctuating velocity series extracted at selected locations.</li> <li>PODenergycontribution.csv: energy contribution from the first 20 POD modes computed for the case studies.</li> <li>PODtemporalcoefficients.csv: temporal coefficients obtained from the first two modes for the case studies.</li> <li>PODspectra_[case].csv: spectra of the temporal coefficients corresponding to modes 1 to 4 for the cases in study.</li> <li>PODspatialmodes_[case].csv: first two spatial modes computed for the case studies.</li> </ol>
Data set for "Optical multiplexing of metrological time and frequency signals in a single 100 GHz-grid optical channel"
<p>Here we share the relevant data of the manuscript “Optical multiplexing of metrological time and frequency signals in a single 100 GHz-grid optical channel”.</p> <p>Files:</p> <ul> <li>Opt_Fr_stability_part1.txt</li> <li>Opt_Fr_stability_part2.txt</li> </ul> <p>contain the data used for evaluation of optical frequency transfer stability (Fig. 7 in the paper). The measurements were done with 8-channels K+K phase/frequency recorder. Column 1 contains date, col. 2: time, col. 5: in-loop beatnote phase, col. 6: out-of-loop beatnote phase. The phase is recorded in cycles. In case of out-of-loop beatnote it was divided by factor of two before recording, therefore the data from col. 6 should be multiplied by two to obtain true values of the optical phase fluctuations.</p> <p>File:</p> <ul> <li>RF_stability.txt</li> </ul> <p>contains the data used for evaluation of RF frequency transfer stability (Fig. 8 in the paper). Column 1 contains time in hours, and col. 2 RF phase fluctuations in seconds.</p>
IODP Expedition 379 RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
IODP Expedition 371 RGB channels (calculated from core photos)
Red, green, and blue pixel data were extracted from Section Half Imaging Logger (SHIL) linescan images, typically binned at 0.5 cm resolution using the central 2 cm of the image.
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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.