The Public Use Microdata Sample (PUMS) for Puerto Rico (PR) contains a sample of responses to the Puerto Rico Community Survey (PRCS). The PRCS is similar to, but separate from, the American Community Survey (ACS). The PRCS collects data about the population and housing units in Puerto Rico. Puerto Rico data is not included in the national PUMS files. It is published as a state equivalent file and has a State FIPS code of "72".

This contains the raw time-series data for a study of liposome stability in aqueous fluid solution over the course of a year. The study was carried out using orthogonal nanoparticle tracking analysis (NTA) and asymmetric flow field flow fractionation (AF4) with multi-angle light scattering techniques to independently measure particle diameter and particle number concentration throughout the course of the study.

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.

Provides data for veterans of the United States on Vietnam-theater and Persian Gulf-theater status, service-connected income, effect of a service-connected disability on current labor force participation and participation in veterans' programs.

Information on person and household broadband (high-speed Internet) use, where it is used, by what types of devices, what type of service provider, online actions performed, and other characteristics.

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.