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115 results for “data compression”
Comparison of compressive forces because of various cannulated cancellous screws used in arthroscopic ankle arthrodesis_DATA
<p>Comparison of compressive forces because of various CCS used in AAA</p>
Data for: Electrical conductivity of dense MgSiO3 melt under static compression
<p><strong>Dataset S1</strong>. Experimental conditions.</p>
BDS data of the CAFP and FNAFP assessment in Vinderhoute, Belgium in 2018 (compressed)
<p>Barotrauma Detection Sensors (BDS) passing the Fairbanks Nijhuis Axial Flow Pumps (FNAFPs) and Conventional Axial Flow Pumps (CAFPs) of the Duivelsput pumping station (Vinderhoute, Oude Kale, Belgium). Here the compressed data is given of the CAFP (Old_Axial_n_6), the FNAFP at low rpm (Pump_40Hz_n_64), the FNAFP at high rpm (Pump_47Hz_n_51), the control FNAFP at low rpm (Pump_40Hz_Control_n_13) and the control FNAFP at high rpm (Pump_47Hz_Control_n_15). The following description is adopted from <a href="https://biorobotics.pages.taltech.ee/bds/en/description/">https://biorobotics.pages.taltech.ee/bds/en/description/</a>. </p> <p>The BDS saves the sensor data in a <strong>row-column format</strong>. Each <strong>row represents one time step</strong>, and <strong>each of the 27 columns corresponds to a different variable</strong>. The data are logged to the file at 100 Hz (the magnetometer is 20 Hz). The following table provides an overview of the sensor data structure, and the physical units are given in brackets.</p> <p>The <strong>calibration status</strong> for each of the three sensor types (accelerometer, rate gyro and magnetometer) is given on a scale from 0 (no calibration) to 3 (perfect calibration). The user can improve the calibration status by rotating the sensor slowly around all three axis (takes ca. 20 seconds), and then letting it stand on the flat end cap (hemisphere facing up) for 10 seconds. The sum of the calibration status represents the "total calibration" of the BDS, and is the sum of the three calibration values from each sensor, and ranges from 0 to 9. </p> <table> <tbody> <tr> <td>Col 1</td> <td>Time [ms]</td> <td>Timestamp</td> </tr> <tr> <td>Col 2</td> <td>PL [hPa]</td> <td>Pressure</td> <td>left</td> <td> </td> </tr> <tr> <td>Col 3</td> <td>TL [C]</td> <td>Left</td> <td>temp</td> <td> </td> </tr> <tr> <td>Col 4</td> <td>PC [hPa]</td> <td>Pressure</td> <td>center</td> <td> </td> </tr> <tr> <td>Col 5</td> <td>TC [C]</td> <td>Center</td> <td>temp</td> <td> </td> </tr> <tr> <td>Col 6</td> <td>PR [hPa]</td> <td>Pressure</td> <td>right</td> <td> </td> </tr> <tr> <td>Col 7</td> <td>TR [C]</td> <td>Right</td> <td>temp</td> <td> </td> </tr> <tr> <td>Col 8</td> <td>EX [deg]</td> <td>Euler</td> <td>angle X</td> <td> </td> </tr> <tr> <td>Col 9</td> <td>EY [deg]</td> <td>Euler</td> <td>angle Y</td> <td> </td> </tr> <tr> <td>Col 10</td> <td>EZ [deg]</td> <td>Euler</td> <td>angle Z</td> <td> </td> </tr> <tr> <td>Col 11</td> <td>QX [-]</td> <td>Quat. X</td> </tr> <tr> <td>Col 12</td> <td>QY [-]</td> <td>Quat. Y</td> </tr> <tr> <td>Col 13</td> <td>QZ [-]</td> <td>Quat. Z</td> </tr> <tr> <td>Col 14</td> <td>QW [-]</td> <td>Quat. W</td> </tr> <tr> <td>Col 15</td> <td>MX [microT]</td> <td>Magnet. X</td> </tr> <tr> <td>Col 16</td> <td>MY [microT]</td> <td>Magnet. Y</td> </tr> <tr> <td>Col 17</td> <td>MZ [microT]</td> <td>Magnet. Z</td> </tr> <tr> <td>Col 18</td> <td>AX [m/s2]</td> <td>Dynamic</td> <td>linear</td> <td>accel. X</td> </tr> <tr> <td>Col 19</td> <td>AY [m/s2]</td> <td>Dynamic</td> <td>linear</td> <td>accel. Y</td> </tr> <tr> <td>Col 20</td> <td>AZ [m/s2]</td> <td>Dynamic</td> <td>linear</td> <td>accel. Z</td> </tr> <tr> <td>Col 21</td> <td>**RX [rad/s]</td> <td>Rate</td> <td>gyro X</td> <td> </td> </tr> <tr> <td>Col 22</td> <td>RY [rad/s]</td> <td>Rate</td> <td>gyro Y</td> <td> </td> </tr> <tr> <td>Col 23</td> <td>RZ [rad/s]</td> <td>Rate</td> <td>gyro Z</td> <td> </td> </tr> <tr> <td>Col 24</td> <td>CSM</td> <td>Calibration</td> <td>status</td> <td>magnet. (0-3)</td> </tr> <tr> <td>Col 25</td> <td>CSA</td> <td>Calibration</td> <td>status</td> <td>accel. (0-3)</td> </tr> <tr> <td>Col 26</td> <td>CSR</td> <td>Calibration</td> <td>status</td> <td>gyro. (0-3)</td> </tr> <tr> <td>Col 27</td> <td>CSTOT</td> <td>Sum </td> <td>calibration</td> <td>status (0-9)</td> </tr> </tbody> </table> <p>Sensor data example:</p> <table> <tbody> <tr> <td>Time [ms]</td> <td>0</td> <td>0.01</td> <td>0.02</td> <td>0.03</td> <td>0.04</td> </tr> <tr> <td>PL [hPa]</td> <td>1000.1</td> <td>999.93</td> <td>999.93</td> <td>999.79</td> <td>999.8</td> </tr> <tr> <td>TL [C]</td> <td>20.41</td> <td>20.41</td> <td>20.41</td> <td>20.41</td> <td>20.41</td> </tr> <tr> <td>PC [hPa]</td> <td>1000</td> <td>1000</td> <td>999.98</td> <td>1000</td> <td>1000.1</td> </tr> <tr> <td>TC [C]</td> <td>20.55</td> <td>20.55</td> <td>20.55</td> <td>20.55</td> <td>20.55</td> </tr> <tr> <td>PR [hPa]</td> <td>999.97</td> <td>999.93</td> <td>999.89</td> <td>999.82</td> <td>999.9</td> </tr> <tr> <td>TR [C]</td> <td>20.67</td> <td>20.67</td> <td>20.67</td> <td>20.67</td> <td>20.67</td> </tr> <tr> <td>EX [deg]</td> <td>65.563</td> <td>66</td> <td>66.75</td> <td>67.063</td> <td>67.063</td> </tr> <tr> <td>EY [deg]</td> <td>18.75</td> <td>18.625</td> <td>18.875</td> <td>18.938</td> <td>18.938</td> </tr> <tr> <td>EZ [deg]</td> <td>-165.94</td> <td>-166.25</td> <td>-166.81</td> <td>-167.13</td> <td>-167.13</td> </tr> <tr> <td>QX [-]</td> <td>0.53033</td> <td>0.53687</td> <td>0.53949</td> <td>0.54187</td> <td>0.54187</td> </tr> <tr> <td>QY [-]</td> <td>0.82336</td> <td>0.81989</td> <td>0.81836</td> <td>0.81696</td> <td>0.81696</td> </tr> <tr> <td>QZ [-]</td> <td>0.18768</td> <td>0.18378</td> <td>0.1825</td> <td>0.18103</td> <td>0.18103</td> </tr> <tr> <td>QW [-]</td> <td>-0.07489</td> <td>-0.07581</td> <td>-0.07745</td> <td>-0.07874</td> <td>-0.07874</td> </tr> <tr> <td>MX [microT]</td> <td>-22.75</td> <td>-22.75</td> <td>-22.75</td> <td>-22.75</td> <td>-22.75</td> </tr> <tr> <td>MY [microT]</td> <td>-19.25</td> <td>-19.25</td> <td>-19.25</td> <td>-19.25</td> <td>-19.25</td> </tr> <tr> <td>MZ [microT]</td> <td>57.875</td> <td>57.875</td> <td>57.875</td> <td>57.875</td> <td>57.875</td> </tr> <tr> <td>AX [m/s2]</td> <td>-1.16</td> <td>-0.23</td> <td>0.01</td> <td>-0.1</td> <td>-0.14</td> </tr> <tr> <td>AY [m/s2]</td> <td>-1.99</td> <td>-1.56</td> <td>-1.36</td> <td>-1.47</td> <td>-1.57</td> </tr> <tr> <td>AZ [m/s2]</td> <td>-0.59</td> <td>-0.54</td> <td>-1.03</td> <td>-0.93</td> <td>-0.86</td> </tr> <tr> <td>RX [rad/s]</td> <td>0.29889</td> <td>0.27667</td> <td>0.27222</td> <td>0.29889</td> <td>0.30111</td> </tr> <tr> <td>RY [rad/s]</td> <td>0.88778</td> <td>1.8667</td> <td>0.85333</td> <td>1.0844</td> <td>1.28</td> </tr> <tr> <td>RZ [rad/s]</td> <td>0.78556</td> <td>0.82</td> <td>0.79889</td> <td>0.70556</td> <td>0.63667</td> </tr> <tr> <td>CSM</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> </tr> <tr> <td>CSA</td> <td>1</td> <td>1</td> <td>1</td> <td>1</td> <td>1</td> </tr> <tr> <td>CSR</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <td>CSTOT</td> <td>3</td> <td>3</td> <td>3</td> <td>3</td> <td>3</td> </tr> </tbody> </table>
Load-Displacement History Data and Video Recording of Norway Spruce Compression Experiment Perpendicular to Grain Direction
<p>This dataset contains load-displacement history of Norway Spruce compression experiments perpendicular to grain direction and the video recordings. The experiment utilized the Zwick RK 250/50 <em>Universal Testing Machine</em> (UTM) with HBM U2A load cell set at 200kN capacity, while video was recorded by Canon EOS 5DS R mounted on a tripod. Unfortunately the recording failed while recording specimen 3, hence only part of the beginning of the experiment is available.</p>
Power Quality Disturbance Training Data for Compression tasks
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Data repository for Uniaxial compression of 3D printed samples with voids: laboratory measurements compared with Effective Medium Theory
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Data from: Tracheal compression in pupae of the beetle Zophobas morio
Insects that are small or exhibit low metabolic rates are considered to not require active ventilation to augment diffusive gas exchange. Some pupae with low metabolic rates exhibit abdominal pumping, a behaviour that is known to drive tracheal ventilation in the adults of many species. However, previous work on pupae suggests that abdominal pumping may serve a non-respiratory role. To study the role of abdominal pumping in pupa of the beetle Zophobas morio, we visualized tracheal dynamics with X-rays while simultaneously measuring haemolymph pressure, abdominal movement, and CO2 emission. Pupae exhibited frequent tracheal compressions that were coincident with both abdominal pumping and pulsation of pressure in the haemolymph. However, more than 63% of abdominal pumping events occurred without any tracheal collapse and hence ventilation, suggesting that the major function of the abdominal pump is not respiratory. In addition, this study shows that the kinematics of abdominal pumping can be used to infer the status of the spiracles and internal behaviour of the tracheal system.
Original data of compression test for cracked specimen
<p>To explore the crack propagation and failure process of surrounding rock with deep cracks under external stress adjustment, the failure of cracked specimens under external load was studied. The required test pieces were prepared by using a self-developed mold and using cement mortar as a similar material. Through the uniaxial compression test, the basic mechanical properties of the material and the specimen were obtained, and the crack propagation process and the failure evolution mechanism of the specimen under different crack inclination angles and loading rates were revealed. The test results show that the presence of cracks can significantly affect the overall strength of the specimen, and the strength and failure mechanism of the specimen vary with the change in the crack angle and rate of loading. The larger the crack inclination angle, the lower the strength of the specimen, and the two are linearly related. With the increase in the loading rate, the failure mode of the specimen gradually changes, the dynamic effect is enhanced, and typical characteristics of a rockburst appear. Furthermore, the reasons for the modes of failure and changes in strength of the specimens were analyzed from the energy point of view, and the non-contact full-field strain measurement system (DIC) was used to explain the macroscopic failure modes of the specimens from a meso-level perspective. Combining this with the failure behavior of the specimen, reasonable suggestions are proposed for the smooth construction of the actual project in the later stage.</p>
Training Data From : "Squishing skyrmions: symmetry guided dynamic transformation of polar topologies under compression"
<ul> <li>Zip file contains folder of training data in XSF Format </li> <li>.nn files are neural network binary parameter files</li> <li>.nn_asc files neural network parameter text files </li> </ul> <p>.nn files were generated and can be read by the AENET software (http://ann.atomistic.net/) </p> <p> </p>
Original data of compression test for cracked specimen
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Data from: Optical data compression in time stretch imaging
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Data from: Cohort feasibility study of an intermittent pneumatic compression device within a below-knee cast for the prevention of venous thromboembolism
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Data from: Tracheal compression in pupae of the beetle Zophobas morio
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Data from: Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression? a prospective cohort study
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Data from: Synthesis of zeolites Na-A and Na-X from tablet compressed and calcinated coal fly ash
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BUV/Nimbus-4 Level 2 Compressed Ozone Profile Data V005 (BUVN4L2CPOZ) at GES DISC
The Nimbus-4 BUV Level 2 Compressed Ozone Profile Data collection or CPOZ contains total ozone, reflectivities, ozone mixing ratios and layer ozone amounts measured every 32 seconds during the daylit portion of an orbit. Mixing ratios are given at 19 levels: 0.3, 0.4, 0.5, 0.7, 1, 1.5, 2, 3, 4, 5, 7, 10, 15, 20, 30, 40, 50, 70 and 100 mbar. Layer ozone amounts are provided at 12 layers: 0.24, 0.49, 0.99, 1.98, 3.96, 7.92, 15.8, 31.7, 63.3, 127, 253, and 1013 mbar (bottom of layer value). This product is a condensed version of the BUV High-Density Ozone Data Product or (HDBUV).The data were originally created on IBM 360 machines and archived on magnetic tapes. The data have been restored from the tapes and are now archived on disk in their original IBM binary file format. Each file contains about one day of data (14 orbits). The files consist of data records each with seventy-two 4-byte words. The first record is the header record, followed by a series of data records, and ends with several trailer records that pad out the original blocked records. A typical daily file is about 100 kB in size.The BUV instrument was operational from April 10, 1970 until May 6, 1977. In July 1972 the Nimbus-4 solar power array partially failed such that BUV operations were curtailed. Thus data collected in the later years was increasingly sparse, particularly in the equatorial region.This product was previously available from the NSSDC as the Compressed Ozone Profile (CPOZ) Data with the identifier ESAC-00010 (old ID 70-025A-05P).
Experimental data: Stress-transmissivity measurements on natural granite rock fracture subjected to compression
<p>This repository contains data generated during an experimental study focused on characterizing the hydro-mechanical properties of a natural fracture extracted from a granite rock mass and tested in laboratory conditions under varying normal compression stress. The hydraulic transmissivity of the fracture was initially inferred from flow measurements in the two perpendicular directions of the fracture for normal stresses up to 8 MPa. The fracture was then mechanically opened, surveyed, and reassembled, and the flow measurements repeated under normal stresses up to approximately 40 MPa. Laminar flow conditions were maintained throughout the investigation by ensuring very low Reynolds numbers. The dataset generated from the experiments encompasses measurements of the flow and hydraulic transmissivity of the fracture, fracture characteristics (mechanical and hydraulic aperture), and related test parameters (pressure, temperature, gradient, etc.). The data shed light on the hydro-mechanical behavior of low- to very-low-transmissivity fractures in situ. They are made openly available to support further hydrogeological investigations on low-permeability rock masses.</p> <p>To cite this dataset:</p> <blockquote> <p>Godio M., Jacobsson L. (2024). <em>Stress-transmissivity measurements on natural granite rock fracture subjected to compression: findings from unopened and opened/reassembled fracture</em>. International Journal of Rock Mechanics and Mining Sciences. Under review</p> </blockquote>
Massive Compression for High Data Rate Macromolecular Crystallography: Impact on Diffraction Data and Subsequent Structural Analysis
<p>This is a dataset containing raw "uncompressed" diffraction data from test sample.</p> <p>Data are collected on a lysozyme sample at 7.5 keV for a S-SAD experiment at the AMX beamline using an EIGEr 9M detector.</p> <p>The compression used, to generate the cbf files can be derived from the filenames: </p> <p>BINx: pixel binning by a factor x</p> <p>SUMx: frame summing by a factor x </p> <p>J2Kx: JPEG2000 compression used with a factor of x</p> <p>HCOMPx: Hcompress used with a scale factor x </p> <p>For example: lyso_BIN2_SUM2_HCOMP4 was compressed using 2x pixel binning + 2x frame summing + Hcompress with scale of 4. </p> <p>More information will be included after publication, in the meantime, please contact author if details about processing are required.</p> <p>All zstd tar directories contain the cbf files, ready to be processed. </p> <p>All data were collected at the AMX beamline at the NSLS-II using a DECTRIS EIGER X 9 M detector. </p> <p> </p> <p>See more details from the related work (xds.inpo files included) </p>
Convective self-compression of cratons and the stabilization of old lithosphere - DATA SET
<p>Data set for the research work titled, "Convective self-compression of cratons and the stabilization of old lithosphere"</p>
Morphometric Study of the Legs and Feet of Diabetic Patients in Order to Collect Data Intended to be Used to Measure by Dynamometry the Pressures Exerted by Several Medical Compression Socks at the Le
ClinicalTrials.gov study NCT05594446. IPD Sharing: NO. Countries: 1. Publications: 0.
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