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RGTM 10169
Data provided by National Institute of Standards and Technology
NIST developed a reference material consisting of synthetic fragments of the SARS-CoV-2 virus RNA, which is the target of molecular diagnostic tests. These RNA fragments can assist in the development and validation of RT-qPCR assays for the detection SARS-CoV-2. The RNA fragments are characterized for concentration using digital PCR methods, may be used to assess limits of detection for SARS-CoV-2 assays, and may calibrate other in-house or commercial SARS-CoV-2 controls. This dataset includes data used for RTGM 10169 SARs-Cov-2 Research Grade Test Material validation.
Tags: virus,SRM,reference material,DNA,sequencing,PCR,digital PCR,Biosciences and Health,
Modified: 2024-02-22
Views: 0
Entropy Source Validation Client
Data provided by National Institute of Standards and Technology
This tool is a Python client that can interact with the NIST Entropy Source Validation Test System.
Tags: python,Entropy Source Validation Test System,NIST,CMVP,ESV Client,
Modified: 2024-02-22
Views: 0
Python tools for measuring filament defects in embedded 3D printing
Data provided by National Institute of Standards and Technology
In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J.
Tags: python,digital image analysis,computer vision,3D printing,additive manufacturing,openCV,
Modified: 2024-02-22
Views: 0
Simantha: Simulation for Manufacturing
Data provided by National Institute of Standards and Technology
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems.
Tags: discrete-event simulation,manufacturing,production,maintenance,python,
Modified: 2024-02-22
Views: 0
Datasets from an interlaboratory comparison to characterize a multi-modal polydisperse sub-micrometer bead dispersion
Data provided by National Institute of Standards and Technology
These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.
Tags: Biosciences and Health,particle,protein particle,sub-micrometer particle,subvisible particle,particle tracking analysis,resonant mass measurement,electrical sensing zone,holographic particle characterization,flow imaging,laser diffraction,flow cytometry,
Modified: 2024-02-22
Views: 0
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
The NIST Scan Framework for ARTIQ
Data provided by National Institute of Standards and Technology
The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.
Tags: ARTIQ,python,Scans,
Modified: 2024-02-22
Views: 0
Datasets from an interlaboratory comparison to characterize a multi-modal polydisperse sub-micrometer bead dispersion
Data provided by National Institute of Standards and Technology
These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.
Tags: Biosciences and Health,particle,protein particle,sub-micrometer particle,subvisible particle,particle tracking analysis,resonant mass measurement,electrical sensing zone,holographic particle characterization,flow imaging,laser diffraction,flow cytometry,
Modified: 2024-02-22
Views: 0
NIST DART-MS Forensics Database (is-CID)
Data provided by National Institute of Standards and Technology
The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).
Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,
Modified: 2024-02-22
Views: 0
NIST DART-MS Forensics Database (is-CID)
Data provided by National Institute of Standards and Technology
The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).
Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,
Modified: 2024-02-22
Views: 0