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42 results found

multicomplex: C++ and Python code for multicomplex arithmetic

Data provided by  National Institute of Standards and Technology

The library multicomplex is an implementation of multicomplex algebra in C++ to allow for higher-order derivatives of numerical functions. Many (though not all) mathematical functions are implemented, allowing for calculation of derivatives (straight and mixed) to approximately numerical precision, which is difficult or impossible to achieve in conventional double precision

Tags: mathematics,multicomplex,derivatives,C++,python,

Modified: 2024-02-22

Views: 0

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

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

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

JARVIS: Joint Automated Repository for Various Integrated Simulations

Data provided by  National Institute of Standards and Technology

JARVIS (Joint Automated Repository for Various Integrated Simulations) is a repository designed to automate materials discovery using classical force-field, density functional theory, machine learning calculations and experiments.

The Force-field section of JARVIS (JARVIS-FF) consists of thousands of automated LAMMPS based force-field calculations on DFT geometries. Some of the properties included in JARVIS-FF are energetics, elastic constants, surface energies, defect formations energies and phonon frequencies of materials.

Tags: Density functional theory,classical interatomic potential,force-field,python,JARVIS,MGI,MDCS,RESTAPI,automation,

Modified: 2024-02-22

Views: 0

FEASST: Free Energy and Advanced Sampling Simulation Toolkit

Data provided by  National Institute of Standards and Technology

The Free Energy and Advanced Sampling Simulation Toolkit (FEASST) is a free, open-source, modular program to conduct molecular and particle-based simulations with flat-histogram Monte Carlo and molecular dynamics methods. It is a software written in C++ and python which is made publicly available to aid in reproducibility. It is also provided as a service to the scientific community in which there are few , if any, Monte Carlo programs that support flat histogram methods and advanced sampling algorithms. This software is expected to be updated frequently with new methods.

Tags: monte carlo,molecular simulation,free energy,flat histogram,C++,python,

Modified: 2024-02-22

Views: 0