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ETSpy: A HyperSpy Extension Package for Electron Tomography Data Processing and Reconstruction
Data provided by National Institute of Standards and Technology
ETSpy is a HyperSpy extension package package for the processing, aligment, and reconstruction of electron tomography data from TEM/STEM instruments. Tools are provided for basic tilt series data processing, stack alignment, and reconstruction using the ASTRA Toolbox.
Tags: electron tomography,STEM,TEM,open source software,Hyperspy,python,electron microscopy,
Modified: 2025-04-06
Sim-PROCESD: Simulated-Production Resource for Operations and Conditions Evaluation to Support Decision-making
Data provided by National Institute of Standards and Technology
Sim-PROCESD 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. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Sim-PROCESD provides class definitions for manufacturing devices/components that can be configured by the user to model various real-world manufacturing systems.
Tags: discrete-event simulation,manufacturing,production,maintenance,python,
Modified: 2025-04-06
Data related to the investigation of UUIDs for a standards-based digital thread of product data in ISO 10303-242
Data provided by National Institute of Standards and Technology
This dataset contains data used in the investigation of Universally Unique Identifiers (UUIDs) that will enable a standards-based digital thread of product data in ISO 10303-242. Included are EXPRESS schema used for implementation and .stp files that were exported from native CAD (CATIA V5, Creo, and NX). UUIDs were assigned to CAD features during .stp export for each of the four design iterations.
Tags: industrial data,standards,native CAD files,derived neutral files,ISO 10303,STEP,interoperability testing,digital thread,manufacturing,model-based enterprise,lifecycle,Universally Unique Identifiers,UUID,Persistent Identifiers,PID,
Modified: 2025-04-06
Human Observational Data in a Production Environment
Data provided by National Institute of Standards and Technology
A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to observe and evaluate a machining process in which a rotary bit (the "tool") removed layers of a workpiece until the tool was worn to exhaustion. One trial and 19 official experiments were completed, one for each of 20 tools.
Tags: language processing,technical language processing,text,manufacturing,machining,process measurement and control,image and signal processing,
Modified: 2025-04-06
"pyproject2conda": A script to convert `pyproject.toml` dependencies to `environemnt.yaml` files.
Data provided by National Institute of Standards and Technology
The main goal of `pyproject2conda` is to provide a means to keep all basicdependency information, for both `pip` based and `conda` based environments, in`pyproject.toml`. I often use a mix of pip and conda when developing packages,and in my everyday workflow. Some packages just aren't available on both. The application provides a simple comment based syntax to add information to dependencies when creating `environment.yaml`. This package is actively used by the author, but is still very much a work inprogress.
Tags: python,devoloper tool,python packaging,
Modified: 2025-04-06
Software and Data associated with "Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA"
Data provided by National Institute of Standards and Technology
The purpose of this software and data is to enable reproduction and facilitate extension of the computational results associated with the following referenceDeJaco, R. F.; Majikes, J. M.; Liddle, J. A.; Kearsley, A. J. Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA. Biophysical Journal, 2023, https://doi.org/10.1016/j.bpj.2023.03.002.The software and data can also be found at https://github.com/usnistgov/dye_dna_plates.
Tags: fluorescence,numerical-optimization,mathematical-modeling,fluorescence-data,total-least-squares,python,intercalating dyes,noise-removal,
Modified: 2025-04-06
Thermal Drift Monitoring Experiment 01
Data provided by National Institute of Standards and Technology
An experiment was set up within a machine tool at the National Institute of Standards and Technology (NIST) to test vision-based thermal drift tracking methods. A wireless microscope within a tool holder in the spindle is used to capture videos of image targets attached to the worktable. For each target, one video is captured during spindle rotation orthogonal to the worktable and another video is captured during axis translation orthogonal to the worktable.
Tags: Thermal error,machine tool,monitoring,manufacturing,Microscope,
Modified: 2025-04-06
Optimal Bayesian Experimental Design Version 1.2.0
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,adaptive measurement,
Modified: 2025-04-06
analphipy: A python package to analyze pair-potential metrics.
Data provided by National Institute of Standards and Technology
`analphipy` is a python package to calculate metrics for classical models for pair potentials. It provides a simple and extendable api for pair potentials creation. Several routines to calculate metrics are included in the package. The main features of `analphipy` are 1) Pre-defined spherically symmetric potentials. 2) Simple interface to extended to user defined pair potentials. 3) Routines to calculate Noro-Frenkel effective parameters. 4) Routines to calculate Jensen-Shannon divergence.
Tags: python,statistical mechanics,
Modified: 2025-04-06
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Data provided by National Institute of Standards and Technology
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X-ray scattering and X-ray spectroscopy; this combination provides unique sensitivity to molecular orientation and chemical heterogeneity in soft materials such as polymers and biomaterials.
Tags: polymer,python,C++,CUDA,polymer nanocomposite,polymer solution,X-ray scattering,software,tool,computation,
Modified: 2025-04-06