This data repository contains original files (fcs) of flow cytometry experiments. The data was used to demonstrate the use of stochastic regression to quantify subpopulations of cells that have distinctly different genome copies per cell within a heterogenous population of Escherichia coli (E. coli) cells.  This new approach gives estimates of signal and noise, the former of which is used for analysis, and the latter is used to quantify uncertainty.

Data associated with figures in Optics Letters 2022 publication "A dual chirped-pulse electro-optical frequency comb method for simultaneous molecular spectroscopy and dynamics studies: Formic acid in the THz region".

This is a research data set extracted from NIST Standard Reference Database 103b and contains raw experimental data for viscosity and surface tension of binary mixtures.

Web interface that uses EIA energy price escalation rate projections to approximate an average energy escalation rate for a given fuel type, customer type, and time period of interest.

SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https://arxiv.org/abs/2111.04881.

A code repository and accompanying data for incorporating imperfect theory into machine learning for improved prediction and explainability. Specifically, it focuses on the case study of the dimensions of a polymer chain in different solvent qualities. Jupyter Notebooks for quickly testing concepts and reproducing figures, as well as source code that computes the mean squared error as a function of dataset size for various machine learning models are included.

Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical.

This portal is a gateway to documented digital forensic image datasets. These datasets can assist in a variety of tasks including tool testing, developing familiarity with tool behavior for given tasks, general practitioner training and other unforeseen uses that the user of the datasets can devise. Most datasets have a description of the type and locations of significant artifacts present in the dataset. There are descriptions and finding aides to help you locate datasets by the year produced, by author, or by attributes of the dataset.

SCAP Composer is a software application for creating Security Content Automation Protocol (SCAP) source data stream collections from Extensible Markup Language (XML) documents valid with respect to schemas defined in SCAP component specifications. SCAP Composer's limited scope and small footprint make it easy to install, use, and integrate with other SCAP content development tools. SCAP Composer uses the DITA Open Toolkit, an open source publishing engine for content authored in the Darwin Information Typing Architecture (DITA).

These data were acquired in the process of collecting data for [1]. They comprise IQ waveform outputs of two different software-defined radios (SDRs) that were collected for various combinations of 1- and 2-tone excitation conditions. For details about how the data were collected, see that publication.