Images and Fortran codes used to generate results in the paper "Data Assimilation in 2D Hyperbolic/Parabolic systems using stabilized explicit finite difference scheme run backward in time" by Alfred Carasso. . In data assimilation one is given a proposed solution to a time-dependent partial differential equation at some time T and are asked to identify an initial condition at some earlier time 0 that evolves into the given solution at time T.

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

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.

This Photopolymer AM-Bench 2022 Challenge is to accurately model the relationship between photopatterned print fidelity and cure depth to exposure time with four resins, which serve to orthogonally probe the relationship between resin reactivity and viscosity. The data sets included here are broken down into three categories and are as follows: (1) resin characterization: Fourier transform infrared spectroscopy and rheometry, (2) light engine characterization: photomask dimensions, beam profilometry and radiometry, and (3) cure depth and profile: laser scanning confocal microscopy.

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.

Includes raw data used to generate the figures in the publication "Selective deuteration along a polyethylene chain: Differentiating conformation segment by segment" [https://doi.org/10.1021/acs.macromol.3c01560]. Data include NMR spectra, FTIR spectra, Raman spectra, SEC traces, and DSC traces of isotopically labeled polyethylene materials. Chemical structures of the samples are also included as .png image files and .mol chemical table files, which can be opened with most chemical structure editors.

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.

A table of known interferences for per- and polyfluoroalkyl substances using mass spectrometry.

Raw data from this project are recorded voltage waveforms versus time from a calibrated real time oscilloscope, waveforms in both frequency, time and modulated domain in both frequency and time domain from a vector receiver. The raw data are text files in MATLAB format. The text files recorded from the oscilloscope end with .mat and can have varying number of columns depending on the number of scope channels that were recorded.