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MAM Consortium Interlaboratory Study Raw Data
Data provided by National Institute of Standards and Technology
These LC-MS and LC-MS/MS raw data were collected for purposes of an interlaboratory study evaluating the multi-attribute method (MAM). Tryptic digests of native NISTmAb (the "Reference" and the "Unknown" samples), degraded NISTmAb (the "pH Stress" sample) and NISTmAb spiked with 15 heavy-labeled synthetic peptides (the "Spike" sample) were sent to each participating laboratory. One injection of each digest was acquired in MS-only mode, while a second injection was acquired in MS/MS mode.
Tags: attribute analytics,interlaboratory study,multi-attribute method,MAM Consortium,mass spectrometry,new peak detection,NPD,purity testing,round robin,targeted analytics,NISTmAb,
Modified: 2024-02-22
Views: 0
Asynchronous AM Bench 2022 Challenge Data: Real-time, simultaneous absorptance and high-speed Xray imaging
Data provided by National Institute of Standards and Technology
The absolute laser absorption was measured simultaneously with X-ray imaging during laser melting of Ti-6Al-4V solid metal. The data included here are the time-resolved absolute absorbed power and the Xray images acquired at the same time, along with timing data for synchronization. Also included is information about the experimental configuration including applied laser power, laser beam spatial profile, and the experimental setup. A text document is included that describes all files.
Tags: additive manufacturing,Laser Welding,
Modified: 2024-02-22
Views: 0
Optimal Bayesian Experimental Design
Data provided by National Institute of Standards and Technology
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.
Tags: GitHub pages template,experimental design,Bayesian,optbayesexpt,python,measurement,
Modified: 2024-02-22
Views: 0
Construction of a Dual-enzyme, Subzero (-30 degree C) Chromatography System and Multi-channel Precision Temperature Controller for Hydrogen-Deuterium Exchange Mass Spectrometry
Data provided by National Institute of Standards and Technology
This tutorial provides mechanical drawings, electrical schematics, parts lists, STL files for 3D-printed parts, IGS files, and instructions for automated machining necessary for construction of a dual-protease, subzero, liquid chromatography system for hydrogen-deuterium exchange mass spectrometry. Electrical schematics for construction of a multi-zone temperature controller that regulate to ±0.1 oC are also included in this tutorial.
Tags: liquid chromatography,hydrogen-deuterium exchange,mass spectrometry,precision,peptide,protein,proteolysis,proteomics,reference material,temperature control.,
Modified: 2024-02-22
Views: 0
SEDCORR: An Algorithm for Correcting Systematic Energy Deficits in the Atom Probe Mass Spectra
Data provided by National Institute of Standards and Technology
SEDCORR is an open-source Python module designed to correct for the systematic energy deficits in atom probe mass spectra of electrically insulating samples. The assumption of the algorithm is that the mass spectrum for a dataset is conserved throughout the dataset and that any changes to the peak positions arise from an unknown slowly-fluctuating accelerating voltage. For computational speed, the unknown accelerating voltage is determined using a template matching FFT-based cross correlation method.
Tags: atom probe microscopy,insulator,mass spectra,energy deficit correction,python,FFT,
Modified: 2024-02-22
Views: 0
pySCATMECH: A Python interface to the SCATMECH C++ library of polarized light scattering codes
Data provided by National Institute of Standards and Technology
SCATMECH is a library of object-oriented C++ computer codes originally developed for disseminating models for polarized light scattering from surfaces and aerosols and for diffraction from gratings. The pySCATMECH package has been developed as an interface to the SCATMECH library, simplifying use of the codes and allowing for more rapid development of software for these applications.
Tags: aerosol,bidirectional reflectance,BRDF,diffuse,gratings,Mie scattering,modeling,Mueller matrix,polarization,python,roughness,scatter,surface,
Modified: 2024-02-22
Views: 0
Optimal Bayesian Experimental Design Version 1.0.1
Data provided by National Institute of Standards and Technology
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.
Tags: GitHub pages template,experimental design,Bayesian,optbayesexpt,python,measurement,
Modified: 2024-02-22
Views: 0
Calculation Sheet for Quasi-Static Position Calibration of the Galvanometer Scanner on the Additive Manufacturing Metrology Testbed
Data provided by National Institute of Standards and Technology
This dataset includes a Microsoft Excel spreadsheet (*.xlsx file) provided as supplemental material for the NIST Technical Note (TN-2099) publication titled "Quasi-Static Position Calibration of the Galvanometer Scanner on the Additive Manufacturing Metrology Testbed". The file contains two tabs, titled "Pre-Compensation" and "Post-Compensation", which provides example measurement data and calculations pertaining to the calibration procedures described in the publication.
Tags: additive manufacturing,calibration,Galvanometer,Laser Powder Bed Fusion,
Modified: 2024-02-22
Views: 0
Supplementary Data for the paper "Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders" by E.J. Garboczi and N. Hrabe
Data provided by National Institute of Standards and Technology
Supplementary Data for the paper "Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders" by E.J. Garboczi and N. Hrabe. Contains all the data and programs described in this paper to generate the results discussed in the paper. Also contains all the results that are generated by the data and programs, with which the user can compare to check their results.
Tags: additive manufacturing,metal powder,Laser Powder Bed Fusion,particle shape analysis,X-ray computed tomography. spherical harmonics,image analysis,powder analysis,powder particles,titanium alloy,Ti64,
Modified: 2024-02-22
Views: 0
Development of a Tool to Determine the Variability of Consensus Mass Spectra Supporting Data
Data provided by National Institute of Standards and Technology
Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an R Markdown script to reproduce the manuscript's figures.
Tags: mass spectrometry,uncertainty analysis,per- and polyfluoroalkyl substances,PFAS,reference mass spectrum,
Modified: 2024-02-22
Views: 0