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115 results for “data compression”
Data for: Seasonally mediated niche partitioning in a vertically compressed pelagic predator guild
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Data from: Mechanisms of trophic niche compression: evidence from landscape disturbance
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Compression data for volatile-bearing and volatile-free pyrolite melts
<p>Pressure-volume-density data for volatile-bearing and volatile-free pyrolite melts, separated as individual Excel sheets with the composition and temperature in the title of each sheet. As noted in the headers of each sheet, the first column is the length of the cubic supercell (units: Å), the second column is the volume of the supercell (units: Å<sup>3</sup>), the third column is the density (units: g/cm<sup>3</sup>), the fourth column is the pressure (units: GPa), the fifth column is the standard deviation on pressure (units: GPa), the sixth column is the temperature (units: K), and the seventh column is the standard deviation on temperature (units: K). Standard deviations on pressure and temperature were determined from the fluctuations of the simulations.</p>
Data from: Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model
Background Peak reverse torque (PRT) is a valid method to evaluate implants' secondary stability in the healing bone. The secondary stability is achieved by the implant over time and it has been positively correlated with the implants' osseointegration level. In other words, peak reverse torque is the force required to break the bone-implant interface. The purpose of this study was to compare the peak reverse torque for the self-tapping and non-self-tapping screws used in a dynamic compression plate–screw–bone construct after 60 days of loading when used to stabilize 2.5-cm defects in the tibia of goats. The second objective was to compare the peak removal torque of the screws placed in the different positions to evaluate the impact of construct biomechanics on implants osseointegration. Results In total, 176 non-self-tapping screws and 66 self-tapping screws were used to fix the 8-holes dynamic compression plates to the bones. The screws were placed in the tibiae from proximal (position sites 1,2, 3) to distal (position sites 4,5,6) and were removed 60 days post-implantation. The animals remained weight-bearing throughout the study period. The screws placed in the proximal diaphysis had significantly less peak reverse torque than screws placed in the distal diaphysis in both groups (p < 0.05). The peak reverse torque resistance was also significantly less for the non-self-tapping screws as compared with the self-tapping screws (p < 0.05). The intracortical fractures in the trans-cortex occurred significantly more frequently during the placement of non-self-tapping screws (p < 0.05) as compared with self-tapping screws (p < 0.05). Conclusions Based on these results, we concluded that self-tapping screws may be expected to maintain a more stable bone-implant interface during the first 60 days of loading as compared with non-self-tapping screws. This should be a consideration for orthopedic surgeons and scientists using bone plates to stabilize non-load sharing fractures when a stable plate-screw-bone interface is needed to ensure prolonged stability.
Massive Compression for High Data Rate Macromolecular Crystallography (HDRMX): Impact on Diffraction Data and Subsequent Structural Analysis: Subset with data from 2 deposited PDBs.
<p>Diffraction data from a lysozyme crystal. Data collected at 7.5 keV at the AMX beamline, NSLS-II. 360 degrees were collected, with 0.2 deg per frame. This data set contains 2 folders; 1 from uncompressed data and 1 from data compressed using lossy compression as follow: frames were summed (2x), pixels were binned (2x) and Hcompress with level 24 was applied to uncompressed data. </p>
data for "Probing molecular crowding in compressed tissues with Brillouin light scattering"
<p>Data for the paper entitled "Probing molecular crowding in compressed tissues with Brillouin light scattering" published in PNAS</p>
Supporting data for "Impact of compression on the electrochemical performance of the sulfur/carbon composite electrode in lithium–sulfur batteries"
<p>This is the dataset of electrochemical and operando X-ray diffracytion experiments for our publication "Impact of compression on the electrochemical performance of the sulfur/carbon composite electrode in lithium–sulfur batteries". This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p>Abstract for the manuscript:</p> <p>While lithium–sulfur batteries theoretically have both high gravimetric specific energy and volumetric energy density, only its specific energy has been experimentally demonstrated to surpass that of the state-of-the-art lithium-ion systems at cell level. One major reason for the unrealized energy density is the low capacity density of the highly porous sulfur/carbon composite as the positive electrode. In this work, mechanical compression at elevated temperature is demonstrated to be an effective method to increase the capacity density of the electrode by at least 90% and moreover extends its cycle life. Distinct impacts of compression on the resistance profiles of electrodes with different thickness are investigated by tortuosity factors derived from both electrochemical impedance spectroscopy, X-ray computed tomography and kinetic analysis based on operando X-ray diffraction. The results highlights the importance of a homogeneous electrode structure for the lithium–sulfur system.</p>
Tool and python programs for the paper "The Impact of Altering Emission Data Precision on Compression Efficiency and Accuracy of Simulations of the Community Multiscale Air Quality Model"
<p>Here is the content:</p> <p> * file dir_list which contains information about each file's content</p> <p> * the tool is used to alter a data file by keeping a specific number of significant digits for the paper "The Impact of Altering Emission Data Precision on Compression Efficiency and Accuracy of Simulations of the Community Multiscale Air Quality Model'</p> <p> * pythons program and its associated data to create each figure and table in the paper (data for Table 07 is not included due to size is larger than 50GB)</p>
Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
<p><span>The influence of microstructure of silica-enhanced cement on the mechanical performance of cement is difficult to be described. In this study, we used the scanning electron microscope and image processing method to investigate the relationship between the complicity of cement microstructure and compressive strength under various temperature and curing time conditions. Fractal dimension was applied to describe the complicity of cement. The relationships among compressive strength, fractal dimension, temperature, curing time and pore structure of cement were identified. The results show that curing time of cement directly control the complicity of cement microstructure and compressive strength by altering the pore orientation and macropore ratio in cement. The curing temperature affects the complicity of cement microstructure and compressive strength indirectly by changing the ratio of micropore and small pore. The fractal dimension of silica-enhanced cement shows good correlation with compressive strength. Pore size distribution is the most important factor that influence the complicity of cement matrix and compressive strength of silica-enhanced cement. When building up the macroscopic mechanical performance model of cement, we should consider the influence of pore size distribution in cement under different curing temperatures and times on the complicity of cement microstructure. </span></p>
Data for 'Adaptive Particle Refinement for compressible Smoothed Particle Hydrodynamics'
<p>Contains necessary files to recreate the simulations presented in Adaptive Particle Refinement for compressible Smoothed Particle Hydrodynamics (under review). We have also included the files to recreate the rendered plots presented in the paper. There are seven folders;</p> <ol> <li>Circumbinary disc test</li> <li>Planet-disc test</li> <li>Flyby test</li> <li>Periodic box tests</li> <li>Firehose test</li> <li>Nchild test</li> <li>Kernel test with planet disc interaction</li> </ol> <p>Within each of these folders there are sub-folders that refer to each specific simulation presented in the paper. Each folder contains the necessary .setup and .in file as well as the .ev files where applicable. Where rendered figures have been made, the corresponding dump files are also included here. All figures were made using sarracen (https://github.com/ttricco/sarracen/).</p>
Source Data for "Imaging biological tissue with high-throughput single-pixel compressive holography"
<p>This file contains five subfolders, which are archived with relevant data that are necessary for reconstructing the holographic images of biological samples and resolution targets, respectively. <br> Here we introduce in order:<br> 1. 'dataset 1' is prepared for holographic reconstruction of stained tissue from mouse tails;<br> 2. 'dataset 2' is provided for holographic reconstruction of 80-um unstained tissue from mouse brains.<br> 3. 'dataset 3' is provided for verification of amplitude resolution in large-FOV mode;<br> 4. 'dataset 4' is provided for verification of amplitude resolution in high-resolution mode;<br> 5. 'dataset 5' is provided for verification of phase resolution in high-resolution mode;<br> 6. 'additional dataset 1' is prepared for additional holographic reconstruction of another stained tissue from mouse tails;<br> 7. 'additional dataset 2' is prepared for additional holographic reconstruction of 100-um unstained tissue from mouse brains;<br> 8. 'additional dataset 3' is prepared for additional holographic reconstruction of 120-um unstained tissue from mouse brains;<br> 9. 'additional dataset 4' is prepared for additional holographic reconstruction of 10-um unstained tissue from mouse brains;</p> <p>Both subfolders have the same structures, including the MATLAB data and raw data collected from the data acquisition card, which are necessary for holographic imaging reconstruction.<br> Here we introduce in order:<br> *) biological_sample.mat: The raw data of imaging biological sample. The format of the data has been converted from .tdms to .mat file.</p> <p>*) target_sample.mat: The raw data of imaging resolution target. The format of the data has been converted from .tdms to .mat file.</p> <p>*) background_curvature.mat: The raw data used to correct for phase contaminations from system aberrations. The format of the data has been converted from .tdms to .mat file.</p> <p>*) biological_sample_rawdata.tdms: The raw data of imaging biological sample. The data was collected through DAC and was in the format of TDMS.</p> <p>*) target_sample_rawdata.tdms: The raw data of imaging resolution target. The data was collected through DAC and was in the format of TDMS.</p> <p>*) background_curvature_rawdata.tdms: The raw data used to correct for phase contaminations from system aberrations. The data was collected through DAC and was in the format of TDMS.<br> </p>
Data for 'Variable temperature micropillar compression to reveal <a> basal slip properties of Zircaloy-4'
<p>This is a data bundle for "Variable temperature micropillar compression to reveal <a> basal slip properties of Zircaloy-4" published in Scripta Materialia<br> Volume 162, 15 March 2019, Pages 451-455<br> Siyang Wang, Finn Giuliani, T. Ben Britton<br> Imperial College London, London, SW7 2AZ</p> <p><br> For more information email siyang.wang15@imperial.ac.uk (Mr. Siyang Wang).</p>
Data for manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock" submitted to JGR
<p>In the manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock", the true triaxial experimental testing system is employed to measure the longitudinal wave velocities of three samples: granite (i), mortar model material (ii, MMM), and mortar model material with coarse aggregates (iii, MMMA), under different triaxial confining pressures. Here, the initial electrical signal data received on the strain gauge is provided and recorded. The measured position is consistent with that shown in Figure D1 in the manuscript.</p>
Data from: Context dependent colonization dynamics: regional reward contagion drives local compression in aquatic beetles
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Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
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Data from: Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model
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Evaluation data for 'Investigation on the behaviour of kappa carrageenan hydrogels for compressive intra-vessel disintegration'
<p>Dataset and evaluation routines for the manuscript '<em>Investigation on the behaviour of kappa carrageenan hydrogels for compressive intra-vessel disintegration'.</em></p>
Data from: Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression? a prospective cohort study
Objectives: Degenerative cervical myelopathy (DCM) involves extrinsic spinal cord compression causing tissue injury and neurological dysfunction. Asymptomatic spinal cord compression (ASCC) is more common but its significance is poorly defined. This study investigates if: 1) ASCC can be automatically diagnosed using spinal cord shape analysis; 2) multiparametric quantitative MRI can detect similar spinal cord tissue injury as previously observed in DCM. Design: Prospective observational longitudinal cohort study. Setting: Single centre, tertiary care and research institution. Participants: 40 neurologically intact subjects (19 female, 21 male) divided into groups with and without ASCC. Interventions: None. Outcome Measures: Clinical assessments: modified Japanese Orthopedic Association (mJOA) score and physical examination. 3T MRI assessments: automated morphometric analysis compared with consensus ratings of spinal cord compression, and measures of tissue injury: cross-sectional area (CSA), diffusion fractional anisotropy (FA), magnetization transfer ratio (MTR), and T2-weighted imaging white to grey matter signal intensity ratio (T2WI WM/GM) extracted from rostral (C1-3), caudal (C6-7), and maximally compressed levels (MCL). Results: ASCC was present in 20/40 subjects. Diagnosis with automated shape analysis showed area under the curve > 97%. Five MRI metrics showed differences suggestive of tissue injury in ASCC compared with uncompressed subjects (p<0.05), while a composite of all 10 measures (average of z scores) showed highly significant differences (p=0.002). At follow-up (median 21 months), two ASCC subjects developed DCM. Conclusions: ASCC appears to be common and can be accurately and objectively diagnosed with automated morphometric analysis. Quantitative MRI appears to detect subclinical tissue injury in ASCC prior to the onset of neurological symptoms and signs. These findings require further validation, but offer the intriguing possibility of pre-symptomatic diagnosis and treatment of DCM and other spinal pathologies. Registration: Not registered.
Data from: Cohort feasibility study of an intermittent pneumatic compression device within a below-knee cast for the prevention of venous thromboembolism
Objectives: To determine the likely enrolment rate of eligible participants into a randomised controlled trial (RCT) in which a within-cast intermittent pneumatic compression device using Jet Impulse Technology (IPC/JIT) is 1 of 3 possible interventions in a RCT for the prevention of venous thromboembolism (VTE) in the clinical setting of isolated lower limb cast immobilisation. Design: A prospective, open-label feasibility study of the IPC/JIT device placed within a lower limb cast. Setting: Wellington Regional Hospital Fracture Clinic. Participants: Individuals aged 18–70 who presented with a lower limb injury requiring a minimum of 4 weeks below-knee cast immobilisation. Intervention: Placement of an IPC/JIT device within lower limb cast. Outcome measures: The main outcome measure was the proportion of eligible participants who participated in the feasibility study. Secondary outcome measures included adherence to device usage throughout the study, ease of application of the device and adverse events potentially associated with its use. Results: The proportion of potentially eligible participants for the IPC/JIT device was only 7/142 (5%), 95% CI 2 to 9.9. Devices were used for a mean (range) of 4.1 (1.9 to 10.2) hours per day and none of 7 participants had adequate adherence to the device. 3 of the 7 participants suffered an adverse event, including 1 deep vein thrombosis, 2 dorsal foot ulcer and 1 skin maceration. Conclusions: A within-cast IPC/JIT device is unlikely to be a feasible randomisation arm for a RCT assessing possible interventions for the reduction of VTE risk in the clinical setting of lower limb injury requiring below knee cast immobilisation for a minimum of 4 weeks.
Data from: Optical data compression in time stretch imaging
Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.