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31 results for “Open Channel”
ADCP data of ice-covered and open-channel (macro-turbulent) flow, Pulmanki River, 2016-2020
<p>README of ADCP_data_Lotsari_et_al_Water_opened.zip</p> <p><br> The ADCP data was the basis of the following paper:<br> Macro-turbulent flow and its impacts on sediment transport potential of a subarctic river during ice-covered and open-channel conditions <br> Eliisa Lotsari (1, 2), Michael Dietze (3), Maria Kämäri (4), Petteri Alho (2,5), Elina Kasvi (6,2)</p> <p>1 Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 2, P.O. Box 111, FI-80101, Joensuu, Finland. eliisa.lotsari@uef.fi<br> 2 Department of Geography and Geology, University of Turku, FI-20014 Turun yliopisto, Turku, Finland.<br> 3 Section 4.6 Geomorphology, German Research Centre for Geosciences GFZ Potsdam, D-14473 Potsdam, Germany. mdietze@gfz-potsdam.de<br> 4 Finnish Environment Institute, Latokartanonkaari 11, FI-00790 Helsinki, Finland. maria.kamari@ymparisto.fi<br> 5 Finnish Geospatial Research Institute, National Land Survey of Finland, Geodeetinrinne 2, FI-02430, Masala, Finland. mipeal@utu.fi<br> 6 Turku University of Applied Sciences, Joukahaisenkatu 3, FI-20520, Turku, Finland. elina.kasvi@turkuamk.fi</p> <p>(Note: During the time of data gathering, Maria Kämäri worked at the University of Eastern Finland, and Elina Kasvi at the University of Turku)</p> <p>The data set has been measured with Sontek M9 or S5 sensors, depending on the time step (Table 1).</p> <p>Table 1. The measurement times, their acronyms (applied in the above mentioned publication)<br> and applied sensors. In the acronyms of the measurement times W=winter low flow period, S=spring<br> (snow-melt flood period), A=autumn low flow period. These information are presented also<br> in the Table 1 of the above-mentioned publication.<br> Date Acronym Sensor<br> 17.2.2016 W2016 M9<br> 25.5.2016 S2016 S5 <br> 10.9.2016 A2016 M9<br> 16.2.2017 W2017 M9 <br> 31.5.2017 S2017 M9 <br> 9.9.2017 A2017 M9 <br> 9.2.2018 W2018 M9 <br> 23.5.2018 S2018 S5 <br> 8.9.2018 A2018 S5 <br> 8.2.2019 W2019 M9 <br> 21.5.2019 S2019 M9 <br> 6.2.2020 W2020 M9 </p> <p>RiverSurveyor Live software, and its most recent version, was used each time.<br> The measurements have been done at Pulmanki River (69°55'59.09" N; 28° 2'34.32" E), Northern Finland, during 2016 - 2020. <br> The data is in directories of corresponding measurement times. The measurement<br> locations cs1, cs2, cs3, cs4, csA, csB and csC can be found in the paper (Figs. 1 and 2). <br> The data is in raw Matlab file format, as exported from the RiverSurveyor Live software.<br> The coordinate system is ENU.</p> <p>When used, the referencing to the paper and DOI ( 10.5281/zenodo.3855035 ) are required.</p>
Data and MATLAB Code for the paper entitled "A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow"
<p>This link includes the data and MATLAB code files for the research paper entitled "A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow" by Zhou, J.W.; Bro, W.M.; Tick*, G.R.; Mofatakari, H.; Li, Y.; and Cheng, L., which has been submitted to the Journal of Fluids Engineering. These files are edited under the GB18030 character set standard.</p>
Laboratory Open Channel Flow: Video, Waterlevel and Surface Velocity
<p>Video footage of an open channel flow in a laboratory setting, associated with the surface velocity and water level.</p> <p><br> - Video footage was collected using a Raspberry Pi Camera Module v2 attached to a Raspberry Pi 4 at 25fps from three positions and split into roughly 15s chunks.<br> - A "mic+35/IU/TC" ultrasonic sensor (accuracy: ±1%) measured the water level<br> - A "Nortek Vectrino" (accuracy: ±1% ±1mm/s) velocimeter measured the velocity at the surface</p> <p> </p> <p>- The video files can be found in the folders position1, position2 and position3, each file name contains the initial timestamp to match frames to the measurements<br> - The file "waterlevel.csv" contains the timestamps, Waterlevel [mm] and Percentage Full [%]. The waterlevel column is reversed, as the distance between the sensor and the surface was measured. This means, that lower values correspond to higher water levels.<br> - The file "velocity.csv" contains the timestamps and surface velocity measurements [m/s]</p>
Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield
<p>Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield</p> <p>Six flow conditions over a rough bed of spheres with 24mm diameter. PIV plane was at the centerline of the flow shining through the bed of spheres. Where the laser PIV plane shone up, the spheres were replaced with translucent hollow spheres to allow the light to go through. Gradient of the flow was 0.001.</p> <table> <tbody> <tr> <td>Water Depth</td> <td>Flow rate</td> <td>Velocity</td> <td>Reynolds’ number</td> <td>Manning’s number</td> <td>Froude number</td> <td>Weber number</td> <td>Relative Submergence</td> </tr> <tr> <td>(mm)</td> <td>(l/s)</td> <td>(m/s)</td> <td>(with depth)</td> </tr> <tr> <td>49</td> <td>1.87</td> <td>0.08</td> <td>3,740</td> <td>0.049</td> <td>0.11</td> <td>3.96</td> <td>2.04</td> </tr> <tr> <td>69</td> <td>5.05</td> <td>0.15</td> <td>10,100</td> <td>0.031</td> <td>0.18</td> <td>20.53</td> <td>2.88</td> </tr> <tr> <td>89</td> <td>7.46</td> <td>0.17</td> <td>14,920</td> <td>0.031</td> <td>0.18</td> <td>34.74</td> <td>3.71</td> </tr> <tr> <td>109</td> <td>11.21</td> <td>0.21</td> <td>22,420</td> <td>0.028</td> <td>0.2</td> <td>64.05</td> <td>4.54</td> </tr> <tr> <td>129</td> <td>15.4</td> <td>0.24</td> <td>30,800</td> <td>0.026</td> <td>0.21</td> <td>102.14</td> <td>5.38</td> </tr> <tr> <td>149</td> <td>20.7</td> <td>0.28</td> <td>41,400</td> <td>0.023</td> <td>0.23</td> <td>159.77</td> <td>6.21</td> </tr> </tbody> </table>
Discovery of a potent, Kv7.3-selective potassium channel opener from a Polynesian traditional botanical anticonvulsant
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Do Go Chasing Waterfalls: Enoyl Reductase (FabI) in Complex with Inhibitors Stabilizes the Tetrameric Structure and Opens Water Channels - full trajectories of SaFabI and EcFabI monomers and G112/113V mutants
<p>The following IDs are related to trajectories:</p> <p>v36 = EcFabI apo, monomer<br> v42 = EcFabI + TCL complex, monomer<br> v43 = EcFabI + MUT complex, monomer<br> v44 = EcFabI + AFN complex, monomer<br> v35 = SaFabI apo, monomer<br> v45 = SaFabI + TCL complex, monomer<br> v46 = SaFabI + MUT complex, monomer<br> v47 = SaFabI + AFN complex, monomer<br> v52 = G112V EcFabI apo, tetramer<br> v53 = G112V EcFabI apo, monomer<br> v54 = G113V SaFabI apo, tetramer<br> v55 = G113V SaFabI apo, monomer</p>
Do Go Chasing Waterfalls: Enoyl Reductase (FabI) in Complex with Inhibitors Stabilizes the Tetrameric Structure and Opens Water Channels - full trajectories of SaFabI and EcFabI tetramers
<p>The following IDs are related to trajectories:</p> <p>v1 = EcFabI apo, tetramer<br> v2 = EcFabI + TCL complex, tetramer<br> v3 = EcFabI + MUT complex, tetramer<br> v39 = EcFabI + AFN complex, tetramer<br> v16 = SaFabI apo, tetramer<br> v17 = SaFabI + TCL complex, tetramer<br> v18 = SaFabI + MUT complex, tetramer<br> v40 = SaFabI + AFN complex, tetramer</p>
Do Go Chasing Waterfalls: Enoyl Reductase (FabI) in Complex with Inhibitors Stabilizes the Tetrameric Structure and Opens Water Channels - trajectories employed in Markov State Models and water analyses
<p>The following trajectories were employed in the generation of MSM models and water analyses:</p> <p>SaFabI_60us_align.zip</p> <p>EcFabI_60us_align.zip</p> <p>waters_SaFabI.tar.gz</p> <p>waters_EcFabI.tar.gz</p>
Dataset for article: Potent and reversible open-channel blocker of NMDA receptor derived from dizocilpine with enhanced membrane-to-channel inhibition
<div>This version shows the correct number of n for Figure 6.</div> <div> </div>
Water in peripheral TM-interfaces of Orai1-channels triggers pore opening
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Ancient medicinal plant rosemary contains a highly efficacious and isoform-selective KCNQ potassium channel opener
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Covert Communication Channels based on Hardware Trojans: open-source dataset
<h1>Dataset of Hardware-Trojan (HT) based Covert Channels (HT-CCs) for the IEEE 802.11 (WiFi) standard</h1> <div> <h2>Datasets arhitecture</h2> <ul> <li>The dataset has 80 dataset elements organized in 5 classes, namely CC-free (HT0-CC) and CC-infected (HTX-CC, X={1, · · · , 4}), each class has 16 elements.</li> <li>Those 16 elements are 8 acquisitions for different SNR values ranging from 1dB to 29dB with a step of 4dB, 2 acquisitions for each SNR value. The second acquisition was obtained immediately after the first one, with no other parameters changing between one acquisition and the other. The second acquisition is marked with an underscore in the naming of the file.</li> <li>Each dataset element has 2000 frames and it is the concatenation of ten 200-frames sub-acquisitions.</li> </ul> </div> <div> <h3>Naming convention</h3> </div> <p>Files are named according to the following convention:</p> <p>First acquisition:</p> <div> <pre><code>rxSig_<SNR value>dB_HT<HT-CC attack>.mat </code></pre> <div> </div> </div> <p>Second acquisition:</p> <div> <pre><code>rxSig_<SNR value>dB_HT<HT-CC attack>_.mat </code></pre> <div> </div> </div> <ul> <li>SNR value: ranging from 1dB to 29dB with a step of 4dB, i.e., <1>=SNR of 1db, <2>=SNR of 5db, <3>=SNR of 9dB, <4>=SNR of 13dB, <5>=SNR of 17dB, <6>=SNR of 21dB, <7>=SNR of 25dB, <8>=SNR of 29dB.</li> <li>HT-CC attack: CC-free (HT0-CC) and CC-infected (HTX-CC, X={1, · · · , 4}).</li> </ul> <div> <h3>HT0-CC</h3> </div> <p>The HT0-CC is the benchmark CC-free transmission according to the WiFi standard.</p> <div> <h3>HT1-CC</h3> </div> <p>The HT1-CC is the Amplitude Modulation (AM) Short Training Sequence (STS) HT attak based on the paper</p> <blockquote> <p>A. R. Díaz-Rizo, H. Aboushady and H.-G. Stratigopoulos, "Leaking Wireless ICs via Hardware Trojan-Infected Synchronization," in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 3845-3859, 1 Sept.-Oct. 2023, doi: 10.1109/TDSC.2022.3218507.</p> </blockquote> <p>The amplitude modulation value alpha is set to 10%.</p> <div> <h3>HT2-CC</h3> </div> <p>The HT2-CC is the PSK STF HT attack based on the paper</p> <blockquote> <p>J. Classen, M. Schulz and M. Hollick, "Practical covert channels for WiFi systems," 2015 IEEE Conference on Communications and Network Security (CNS), Florence, Italy, 2015, pp. 209-217, doi: 10.1109/CNS.2015.7346830.</p> </blockquote> <p>The implemented version is leaking 8 bits per OFDM PPDU.</p> <div> <h3>HT3-CC</h3> </div> <p>The HT3-CC is the Dirty Constellation attack based on paper</p> <blockquote> <p>A. Dutta, D. Saha, D. Grunwald and D. Sicker, "Secret Agent Radio: Covert Communication through Dirty Constellations," in Proceedings of the 14th international conference on Information Hiding (IH'12). Springer-Verlag, Berlin, Heidelberg, 160–175, doi: 10.1007/978-3-642-36373-3_11.</p> </blockquote> <p>The implemented version of this attack has an embedding frequency of 5 subcarriers per OFDM symbol, where each OFDM symbol comprises 48 data subcarriers. Each dirty subcarrier is leaking 2 bits; therefore, we are leaking 10 bits per OFDM symbol,</p> <div> <h3>HT4-CC</h3> </div> <p>The HT4-CC is the AM analog/RF attack based on paper</p> <blockquote> <p>K. S. Subramani, N. Helal, A. Antonopoulos, A. Nosratinia and Y. Makris, "Amplitude-Modulating Analog/RF Hardware Trojans in Wireless Networks: Risks and Remedies," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 3497-3510, 2020, doi: 10.1109/TIFS.2020.2990792.</p> </blockquote> <p>Due to SPI limitations, the implemented version of the attack is a digitally-emulated version of the AM analog/RF attack. It leaks 8 bits per transmitted frame.</p> <div> <h2>Hardware Platform</h2> </div> <p>Acquisitions are received downconverted IQ samples using a Software Defined Radio (SDR) board bladeRF xA9.</p>
A Weighting Function Model for Unsteady Open Channel Friction: Raw code and output
<p>Matlab source code and Raw Origin Lab file (.opj) for a weighting function model simulating unsteady open channel friction slopes. This material is provided as is. Methods (formulas) and Figures are explained further in the related article "A Weighting Function Model for Unsteady Open Channel Friction" by Junwei Zhou; Weimin Bao; Geoffrey R. Tick; Qing Cao; and Fanghong Ye.</p>
Trapped Pore Waters in the Open Proton Channel Hv1
<p>The voltage-gated proton channel, Hv1, is crucial for innate immune responses. According to alternative hypotheses, protons either hop on top of an uninterrupted water wire or bypass titratable amino acids, interrupting the water wire halfway across the membrane. To distinguish between both hypotheses, the water mobility for the putative case of an uninterrupted wire is estimated. The predicted single-channel water permeability 2.3 × 10<sup>-12</sup>cm<sup>3</sup> s<sup>-1</sup> reflects the permeability-governing number of hydrogen bonds between water molecules in single-file configuration and pore residues. However, the measured unitary water permeability does not confirm the predicted value. Osmotic deflation of reconstituted lipid vesicles reveals negligible water permeability of the Hv1 wild-type channel and the D174A mutant open at 0 mV. The conductance of 1400 H<sup>+</sup>s<sup>-1</sup> per wild-type channel agrees with the calculated diffusion limit for a ≈2 Å capture radius for protons. Removal of a charged amino acid (D174) at the pore mouth decreases H<sup>+</sup> conductance by reducing the capture radius. At least one intervening amino acid contributes to H<sup>+</sup> conductance while interrupting the water wire across the membrane.</p>
Effects of submerged flexible vegetation on scalar transport in an open-channel flow
<p>The data were used in the paper "Effects of submerged flexible vegetation on scalar transport in an open-channel flow" which was submitted to "Water Resources Research".In this paper, a 3D numerical model simulating scalar transfer in water flow with flexible submerged vegetation is established. The effects of vegetation on enhancing the scalar transfer and the selection of turbulent Schmidt number are investigated by numerical simulations.</p>
Hypersensitivity to Opening of ATP-Sensitive Potassium Channels in Post-Traumatic Headache
ClinicalTrials.gov study NCT05243953. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hypersensitivity to Opening of BKCa Channels in Post-Traumatic Headache
ClinicalTrials.gov study NCT05378074. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of the Kv7-channel Opener Flupirtine on the Excitability of Human Peripheral Myelinated Axons in Vivo
ClinicalTrials.gov study NCT01450865. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ion channel open
Drawing uploaded to scidraw.io on: 12 March 2020
Data for "Turbulence modulation in non-uniform open-channel clay suspension flows"
<p>This dataset details experimental results on the flow structure of clay-laden flows, for the first time isolating the effect of non-uniformity on spatial deceleration and acceleration in open-channel flows. </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.