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Study of 5G New Radio (NR) Support for Direct Mode Communications
Data provided by National Institute of Standards and Technology
This dataset contains results from numerical analysis of the sidelink physical layer capacities for LTE and NR.
Modified:
Trojan Detection Software Challenge - nlp-named-entity-recognition-may2021-train
Data provided by National Institute of Standards and Technology
Round 7 Train Dataset
Modified:
Source: https://drive.google.com/drive/folders/1nR1mgbuEzIs2XgkxXBQSkwfZdVZqYTtr?usp=drive_link
Trojan Detection Software Challenge - nlp-named-entity-recognition-may2021-test
Data provided by National Institute of Standards and Technology
Round 7 Test Dataset
Modified:
Source: https://drive.google.com/drive/folders/12xr9b8Nbha8xJCcsoNtwyVkwN47DAuUP?usp=drive_link
Supporting information to accompany: Accelerating Iterative Equation of State Calculations With Superancillary Phase Boundaries
Data provided by National Institute of Standards and Technology
This record contains a Python script that was used to generate the phase boundaries with superancillary Chebyshev expansion curves. Running the script in Python 3.8 will output the figures and results from the paper. This paper was presented at the ORC 2021 conference in Munich, Germany, paper # 141. Requirements: conda/pip: numpy, scipy, matplotlib, pandas. pip: CoolProp, ChebTools
Modified:
Python tools for OpenFOAM simulations of filament shapes 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. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. OpenFOAM is an open source computational fluid dynamics solver. This repository contains the following Python tools: - Tools for generating input files for OpenFOAM v1912 or OpenFOAM v8 tailored to a nozzle extruding a filament into a static support bath. - Tools for monitoring the status of OpenFOAM simulations and aborting them if they are too slow.
Modified:
Source: https://github.com/usnistgov/openfoamEmbedded3DP/releases/tag/v1.0.0
Uplink IQ Recordings
Data provided by National Institute of Standards and Technology
This data is provided as a supplement to NIST Technical Note 2159 Laboratory Method for Recording AWS-3 LTE Waveforms available at https://doi.org/10.6028/NIST.TN.2159. In particular, the data provided here are a compressed version of all the IQ recordings discussed in the report, with diagnostic information. The data is structured as a compressed archive, Data.zip, for each experimental configuration and capture repeat, resulting in 112 compressed archives organized by directory structure.
Modified:
Atomic Model Structure of Intact Monoclonal Antibody Reference Material 8671 (NISTmAb)
Data provided by National Institute of Standards and Technology
As monoclonal antibodies have become a vital resource in medicine, knowledge of their complex molecular structures has increased in importance. Thousands of Fab and Fc fragments are described in the Protein Data Bank. Whole antibodies have been imaged by EM methods and in a few cases, crystallized. The central hinge lacks a unique stable conformation and its dynamic properties are important to antibody function.
Modified:
Source: https://doi.org/10.18434/mds2-2396
MediScore: the NIST Medifor scoring and evaluation toolkit (https://github.com/usnistgov/MediScore)
Data provided by National Institute of Standards and Technology
MediScore (https://github.com/usnistgov/MediScore) is a NIST developed Medifor scoring and evaluation toolkit for Open Media Forensic Evaluation (OpenMFC). MediScore contains the source, documentation, and example data for the following tools:
Modified:
Source: https://doi.org/10.18434/mds2-2565
Measurement and Computation of Fire Phenomena (MaCFP) Condensed Phase Material Database
Data provided by National Institute of Standards and Technology
The MaCFP Condensed Phase Subgroup has been designed to enable the fire research community to make significant progress towards establishing a common framework for the selection of experiments and the methodologies used to analyze these experiments when developing pyrolysis models.
Modified:
Source: https://github.com/MaCFP/matl-db
Calculated Diffusivities for Water Isotopologues in Carbon Dioxide, Nitrogen, and the Atmosphere of Mars, and for Methane Isotopologues in Nitrogen Representing the Atmosphere of Titan
Data provided by National Institute of Standards and Technology
Values are computed for the dilute-gas diffusivity of water isotopologues in N2, CO2, and their mixture at a composition representing the atmosphere of Mars, for standard conditions of 101.325 kPa and water mole fraction approaching zero. Values are similarly computed for the diffusivity of methane isotopologues in N2, representing the atmosphere of Titan. Calculations employ state-of-the-art intermolecular potentials and classical trajectory calculations as described in the paper by R. Hellmann and A.H.
Modified:
