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67 results for “subtraction”
5D-NP-MATER_MDO - Open Dataset for "Novel, High-Resolution, Subtractive Photoresist Formulations for 3D Direct Laser Writing Based on Cyclic Ketene Acetals"
<p>This is the open dataset for the paper: "Marco Carlotti*, Omar Tricinci, Virgilio Mattoli*, Novel, High-Resolution, Subtractive Photoresist Formulations for 3D Direct Laser Writing based on Cyclic Ketene Acetals, Advanced Materials Technologies, On line (2022) [DOI: 10.1002/admt.202101590] "</p> <p>This include the Supplementary Information file ("SI.pdf") , all the source material used for the paper preparation and more. </p> <p>For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata.</p> <p> </p>
SUPPLEMENTARY (For MD) An integrative pan-genome and subtractive proteomics approach for the identification of potential novel therapeutic drug target against antibiotic resistant honeybee pathogen Paenibacillus larvae
<p><strong>Parameters</strong></p><p>Force field: AMBER ff19SB</p><p>Water type: TIP3P</p><p>Ions: NaCl </p><p>Ligand topology force field: GAFF2</p><p>Temperature: 298k</p><p>Pressure: 1 bar</p><p>minimization step: 20000 on 5 nanoseconds</p><p>initial velocity is changed by changing "ntx" and "ig"</p><p>C2: ntx = 5 , ig = 8</p><p>C3: ntx = 2 , ig = 5</p><p> </p><p><strong>Uploads</strong>- </p><p>1. Zip file of all 3 main files</p><p>2. Unzip file of C1 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>3. Zip file of C1</p><p>4. Unzip file of C2 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>5. Zip file of C2</p><p>6. Unzip file of C3 (Trajectory, PDB complex after each 10 ns run, and Mp4 video of Complex)</p><p>7. Zip file of C3</p><p>8. Zip and unzip file of <strong>Initial</strong> PDB of complex prior to MD simulation with <strong>Post</strong> MD PDB (C1, C2, C3)</p><p>9. Zip file of <strong>topology</strong> files for C1, C2, and C3</p>
Dataset related to article "Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study"
<p><span>The dataset provided here contains the raw data used in the study discussed in this article. The primary objective of the study was to conduct a comparative analysis of the performance of dual energy subtraction (DES) images acquired using contrast-enhanced mammography (CEM) systems produced by three different manufacturers. The comparison, facilitated by a CEM-specific phantom, focused on the assessment of radiation dose and image quality.</span></p> <p><span>Composed of three separate CSV files, the dataset is structured as follows:</span></p> <p><span>1) "Dose-related data": This file provides exposure parameters (including A/F combination, tube voltage and exposure) and the corresponding mean glandular dose (MGD for low-energy (LE) and high-energy (HE) images. Data are given for each CEM system and automatic exposure mode (AEC).</span></p> <p><span>2) "CNR-related data": Encapsulated in this file are data extracted from the phantom DES images. These include measurements of the mean pixel value (MPV) for each iodinated contrast detail, as well as the MPV and standard deviation (SD) for the surrounding background. These data were used to calculate the contrast-to-noise ratio (CNR) for the iodinated contrast details.</span></p> <p><span>3) “Residual CNR data”: This file includes MPV and SD data extracted from phantom DES images, which were useful for calculating the residual CNR after cancellation of the normal background tissue by the DES algorithm.</span></p>
Raw data for: Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
<p>This collection of data contains all raw data needed to reproduce the results in the paper:</p> <p>Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011</p> <p>It can also be used as a demonstration dataset for our Python package fours.</p> <p>More details can be found in the online documentation of our python package:<br><a href="https://fours.readthedocs.io/en/latest/">https://fours.readthedocs.io/en/latest/</a></p>
Intermediate results for: Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
<p>This collection contains all intermediate results needed to reproduce the results in the paper:</p> <p>Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011</p> <p>You can use these intermediate results to create all plots in our paper without the need to run all experiments on a large cluster.</p> <p>More details can be found in the online documentation of our python package:<br><a href="https://fours.readthedocs.io/en/latest/">https://fours.readthedocs.io/en/latest/</a></p>
Glitch subtraction with adaptive spline -- Part 1
<p>This dataset contains the data used in the paper (<a href="https://arxiv.org/abs/2301.02398">arXiv:2301.02398</a>) on the estimation and subtraction of glitches in gravitational wave data using an adaptive spline fitting method called <a href="https://github.com/mohanty-sd/SHAPES.git">SHAPES </a>.</p> <p>Each .zip file corresponds to one of the glitches considered in the paper.<strong> </strong>The name of the class to which the glitch belongs (e.g., "Blip") is included in the name of the corresponding .zip file (e.g.,<strong> BLIP</strong>_SHAPESRun_20221229T125928.zip). When uncompressed, each .zip file expands to a folder containing the following.</p> <ul> <li>An HDF5 file containing the<strong> Whitened</strong> gravitational wave (GW) strain data in which the glitch appeared. The data has been whitened using a proprietary code. The original (unwhitened) strain data file is available from gwosc.org. The name of the original data file is the part preceding the token '__dtrndWhtnBndpss' in the name of the file.</li> <li>A JSON file containing information pertinent to the glitch that was analyzed (e.g., start and stop indices in the whitened data time series).</li> <li>A set of .mat files containing segmented estimates of the glitch as described in the paper. </li> </ul> <p>A MATLAB script, plotglitch.m, has been provided that plots, for a given glitch folder name, the data segment that was analyzed in the paper. Another script, plotshapesestimate.m, plots the estimated glitch. These scripts require the <a href="http://www.mathworks.com/matlabcentral/fileexchange/33381-jsonlab-a-toolbox-to-encode-decode-json-files">JSONLab</a> package.</p>
Strategies for optimal sky subtraction in the low surface brightness regime
<p>Synthetic source master images and associated source property catalogues used in the study "Strategies for optimal sky subtraction in the low surface brightness regime" (Watkins et al.).</p>
Data and code for: Plants sum and subtract stimuli over different timescales
<p>This repository contains the experimental data presented in "Plants sum and subtract stimuli over different timescales" as well as the Python scripts to reproduce the figures, run simulations based on the discussed model and estimate the memory kernel for individual plant organs.</p>
PTT-subtracted Bending mode data for Rubin Observatory Simonyi Survey Telescope
<p>Piston/Tip/Tilt-subtracted bending mode data for Rubin Observatory Simonyi Survey Telescope</p> <p>Bending modes sags are represented as sums of Zernike polynomials and a bicubic spline for each mirror.</p> <p>Piston, Tip, and Tilt terms have been removed from each mirror in this dataset.</p> <p>Source of bending mode data is: https://github.com/bxin/ZEMAX_FEMAP/tree/main</p> <p>To resolve an extrapolation error in previous legacy bending modes, new modes were created by:</p> <ol> <li>Reading original unit load cases</li> <li>Removing piston/tip/tilt from unit load surface deviations</li> <li>Weighting unit load case forces to match previously determined bending mode forces</li> <li>Applying above weights to unit load surface deviations</li> <li>Decomposing into Zernikes + bicubic splines</li> </ol> <p>The corresponding actuator forces for these bending modes can be found in:</p> <ul> <li>https://github.com/bxin/ZEMAX_FEMAP/tree/main/0M1M3Bending/2bendingModes</li> <li>https://github.com/bxin/ZEMAX_FEMAP/tree/main/1M2Bending/2bendingModes</li> </ul> <p>Representative files:</p> <ul> <li> <p><strong>M1M3_bend_zk.fits.gz</strong>: Zernike coefficients (in meters) for M1M3 sag perturbations. 20 modes x 29 coefficients</p> </li> <li> <p><strong>M1M3_bend_forces.fits.gz</strong>: Forces on each actuator for each bending mode. 20 modes x 156 actuators</p> </li> <li> <p><strong>M1M3_actuator_table.fits.gz</strong>: IDs and locations of actuators.</p> </li> <li> <p><strong>M1_bend_coords.fits.gz</strong>: Grid coordinates for bicubic spline nodes on M1. 2 dimensions x 204 points</p> </li> <li> <p><strong>M1_bend_grid.fits.gz</strong>: Bicubic spline coefficients on M1. First dimension is split into z, dz/dx, dz/dy, dz^2/dxdy. Second dimension is 20 bending modes. Third and fourth dimensions are x and y grid locations.</p> </li> <li> <p><strong>bend.yaml</strong>: YAML file indicating which grid coordinates, grid, and Zernikes to use for each mirror. Also indicates inner and outer radii of annuli for Zernike components, and the ordering of modes to use inside of the batoid_rubin package.</p> </li> </ul> <p>Additional files for M2 or M1 and M3 separately follow the same pattern described above.</p>
Multiple Sclerosis: Cerebral Circulation Time is prolonged and not correlated with expanded disability status scale (EDSS). A study using digital subtracted angiography
<p>Dataset used to study the relationship between cerebral circulation time (CCT) and some clinical evidences, e.g. expand disability status scale (EDSS), disease duration, age at onset,... CCT was measured through the digital subtraction angiography (DSA) technique. </p> <p>Statistical Parametric Mapping software (SPM, Wellcome Department of Cognitive Neurology, Institute of Neurology, University College London; http://www.fil.ion.ucl.ac.uk/spm/) and ad-hoc scripts developed in the MATLAB scientific computing environment (http://www.mathworks.com, MathWorks, MA, USA) were applied to valuate the lesion volume and brain volume in MS patients.</p>
Repository for "Standardized classification of cerebral vasospasm after subarachnoid hemorrhage by digital subtraction angiography"
<p>Repositories for "Standardized classification of cerebral vasospasm after subarachnoid hemorrhage by digital subtraction angiography"</p> <p>Repository 1: Digital subtraction angiographies of CVS patients for grading with pM1 values</p> <p>Repository 2: Vessel values</p> <p>Repository 3: Clinical data of CVS patients</p>
Data used for validation of the Local Subtraction Approach
<p>This dataset contains the volume conductor models used in the evaluation of the local subtraction approach for the EEG and MEG forward problem, as detailed in the corresponding manuscript (Published in SIAM Journal on Scientific Computing: <a href="https://epubs.siam.org/doi/full/10.1137/23M1582874" target="_blank" rel="noopener">https://epubs.siam.org/doi/full/10.1137/23M1582874</a>).</p> <p> </p> <p>This first archive contains the four-layer sphere models, the EEG and MEG sensors, and the dipoles used in the validation studies against analytical solutions.</p> <p> </p> <p>The second archive contains the realistic volume conductor model we used for comparing the analytical and local subtraction approaches. </p> <p> </p> <p>Details on the creation and interpretation of the data are given in README files contained in the dataset.</p>
STING OPS: HeLa Unstimulated Secondary Screen Single-Cell Features (Background-Subtracted)
<div> <div> <p><strong>Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening</strong></p> <p>Single-cell features and coordinates for HeLa secondary screen, unstimulated, with rolling ball background subtraction.</p> <p>Images available at gs://opspublic-east1/STINGOpticalPooledScreen/Images/SEC_HeLa.</p> <p>README for additional image information is at gs://opspublic-east1/STINGOpticalPooledScreen/STING_README.</p> <p> </p> </div> <p> </p> </div>
Controlled multi-photon subtraction with cascaded Rydberg superatoms as single-photon absorbers
<p>Data for "Controlled multi-photon subtraction with cascaded Rydberg superatoms as single-photon absorbers"</p>
Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
<p>Data and python notebooks for creating all the figures and tables in the paper.</p>
Identification of Y chromosome markers in the eastern three-lined skink (Bassiana duperreyi) using in silico whole genome subtraction
<p>Background: Homologous sex chromosomes can differentiate over time because recombination is suppressed in the region of the sex determining locus, leading to the accumulation of repeats, progressive loss of genes that lack differential influence on the sexes and sequence divergence on the hemizygous homolog. Divergence in the non-recombining regions leads to the accumulation of Y or W specific sequence useful for developing sex-linked markers. Here we use <i>in silico</i> whole-genome subtraction to identify putative sex-linked sequences in the scincid lizard <i>Bassiana duperreyi</i> which has heteromorphic XY sex chromosomes.</p> <p>Results: We generated 96.7 x 10<sup>9</sup> 150 bp paired-end genomic sequence reads from a XY male and 81.4 x 10<sup>9</sup> paired-end reads from an XX female for <i>in silico</i> whole genome subtraction to yield Y enriched contigs. We identified 7 reliable markers which were validated as Y chromosome specific by polymerase chain reaction (PCR) against a panel of 20 males and 20 females.</p> <p>Conclusions: The sex of <i>B. duperreyi</i> can be reversed by low temperatures (XX genotype reversed to a male phenotype). We have developed sex-specific markers to identify the underlying genotypic sex and its concordance or discordance with phenotypic sex in wild populations of <i>B. duperreyi</i>. Our pipeline can be applied to isolate Y or W chromosome-specific sequences of any organism and is not restricted to sequence residing within single-copy genes. This study greatly improves our knowledge of the Y chromosome in <i>B. duperreyi</i> and will enhance future studies of reptile sex determination and sex chromosome evolution.</p>
A Novel Flow Shop Batch Scheduling Model for Subtractive Processing in Electronic Product Manufacturing
<p>The data is randomly generated based on real manufacturing enviroment. The data is used to evaluate the performance of algorithms proposed in our research.</p>
Raw data for High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity
<p>This document includes the raw data and matlab code to obatin the figures included in the paper 'High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity'</p>
Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
<p>Data and python notebooks for creating all the figures and tables in the paper titled "Trajectory Based RFI Subtraction and Calibration for Radio Interferometry".</p>
QUEST-MM, QUEST(Subtract), QUEST(Met+Back) and QUEST(Met+MM) quantification results of in-vivo and simulated MRS human and rat brain spectra
<p>QUEST-MM, QUEST(Subtract), QUEST(Met+Back) and QUEST(Met+MM) quantification results of rat and human brain <em>in-vivo</em> and simulated spectra alongside with the metabolite profiles and the simulated 9.4T rat and 4T and 3T human brain spectra.</p> <p>All files can be loaded in jMRUI software version 5 and later.</p>
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International Brain Laboratory public data
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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.