The GitHub folder contains the scripts to replicate the analysis corresponding to the paper Who Is That? Perceptual Expertise on Other-Race Face Comparisons, Disguised Face Comparisons, and Face Memory (https://doi.org/10.31234/osf.io/s87na). The data in the paper was collected from forensic facial professionals (examiners and reviewers) and undergraduate students. Participants rated the similarity of faces and chose which faces they memorized. Student data can be obtained by contacting Prof. Alice J.

Data published in paper "Microstrip and Grounded CPW Calibration Kit Comparison for On-Wafer Transistor Characterization from 220 GHz to 325 GHz"We investigated the effect of two uncertainty sources, probe placement error and capacitance per unit length variation, on transistor S-parameter measurements calibrated with two different mTRL calibration kits.

ssmdevices is a collection of python wrappers that have been used for automated experiments by the NIST Spectrum Technology and Research Division. They are released here for transparency, for re-use of the drivers as-is by the test community, and as a demonstration of lab automation based on labbench (see https://github.com/usnistgov/labbench).

Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal noise, i.e., bandpass filtered white Gaussian noise, 2) power law noise, including fractional Gaussian noise (FGN), fractional Brownian motion (FBM), and fractionally differenced white noise (FDWN), 3) generalized shot noise, 4) impulsive noise, including Bernoulli-Gaussian (BG) and symmetric alpha stable (SAS) distributions.

NFIMM is a software library written in C++ and runs on all the major computer platforms, for example, linux.

It may be possible to use a mixture of known peptides run on a linear gradient to create a model that can be used to predict an unknown LC gradient of unknown samples based on deviation from the model. Data from RM 8321 can also be used to test other de novo search algorithms since it is a known mixture of 439 peptides. This data set consists of LC-MS/MS analysis of RM 8321 on a linear gradient of five varied lengths (30 min, 60 min, 90 min, 120 min, and 240 min), which can be used for modeling or testing de novo searching.

The files within this record represent the data shown in the Nature Physics article, "Strong parametric dispersive shifts in a statically decoupled two-qubit cavity QED system". Descriptions of this data are most detailed within the figure captions of the article. Please download and review the file "3027_README.txt" to learn more. The article abstract reads: Qubits in cavity quantum electrodynamic (QED) architectures are often operated in the dispersive regime, in which the operating frequency of the cavity depends on the energy state of the qubit, and vice versa.

DyScO3 (DSO) serves as a substrate on which to grow epitaxial thin films with extraordinary materials physics. The film properties are determined by the biaxial in-plane strain due to DyScO3's slight lattice mismatch in comparison to common perovskite films. Hence, DyScO3 is an attractive substrate for materials studies, yet its highly anisotropic permittivity makes some measurements exceedingly difficult.

This repository contains two types of datasets: 4D-STEM data collected from a thermal annealing series of P3MEEMT films. 4D-STEM data:Dose series: Collected from P3MEEMT film annealed at 115 C. Each HDF5 file was generated from the raw data using the fpdpy software package to reshape and embed metadata. No other preprocessing was performed. Annealing series: Collected from P3MEEMT films annealed at 75 C, 115 C, 145 C, and 175 C. Each temperature contains two sets of 4D-STEM data collected at low and high magnification.

An experiment was set up at the University of Tennessee Knoxville (UTK) to test methods for estimating the cutting forces in real time within machine tools for any spindle speed, force profile, tool type, and cutting conditions. Before cutting, a metrology suite and instrumented tool holder were used to induce magnetic forces during spindle rotation, while on-machine vibrations, magnetic forces, and error motions were measured for various combinations of speeds and forces.