The Hestia NE corridor version 1.0 Beta FFCO2 emissions data product represents emissions from the combustion of fossil fuels and cement production in 12 counties in the state of Maryland (6 counties), Virginia (5 counties), and District of Columbia from 2010 to 2015. The emissions are generated using a bottom-up/engineering approach and use the results generated by the Vulcan Project (version 3), an effort to quantify space/time-resolved FFCO2 emissions for the entire United States landscape, as the starting point for the more detailed Hestia analysis.

Experimental and modeling data from the manuscript: 'Integrating planar photonics for multi-beam generation and atomic clock packaging on chip', C. Ropp, et.al., accepted for publication in Light: Science & Application, 2023.

This is the data underlying Optics Letters publication "Single-modulator, direct frequency comb spectroscopy via serrodyne modulation"

The data from this instrument consists of sets of measurements of Xray intensity as a function of diffraction angle. All of it is collected and is stored in JSON files. The files are highly self-descriptive of their content, and contain angles, intensities, temperatures, and other environmental parameters, along with metadata.

The raw data from this experiment are recorded voltage waveforms versus time from a calibrated equivalent time sampling oscilloscope, touchstone files from network analysis, and waveforms in both frequency and time domain from a vector receiver. As such, the raw data are text files in MATLAB format.The text files recorded from the oscilloscope end with .mat and can have varying numbers of columns depending on the number of scope channels that were recorded.

Figures and relevant data from the paper "Broadband Electromagnetic Properties of Engineered Flexible Absorber Materials" are found here . The paper was published on Advanced Materials Technologies in 2023. ABSTRACT: Flexible and stretchable materials have attracted significant interest for applications in wearable electronics and bioengineering fields. Recent developments also incorporate mounted and embedded microwave circuits, components, and systems with engineered flexible materials that operate over a broadband frequency range (~1 to 100 GHz).

Data for "Preparing for 6G: Developing best practices and standards for industrial measurements of low-loss dielectrics"

Raw data used to investigate the use of Wi-Fi signals to monitor human respiratory motion. Data are from an anatomically correct breathing manikin. These data have been published in "Monitoring Respiratory Motion With Wi-Fi CSI: Characterizing Performance and the BreatheSmart Algorithm," DOI: 10.1109/ACCESS.2022.3230003Each figure from the publication is broken up into its own folder. Within each folder, the raw real/imaginary data from the Wi-Fi channel state information frames can be found.

The purpose of this code and data is to enable reproductionand facilitate extension of the computationalresults associated with following workDeJaco, R. F.; Roberts, M. J.; Romsos, E. L.; Vallone, P. M.; Kearsley, A. J. Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR*Under Review*, 2023.

Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.