This dataset contains the result from simulation experiments carried out for our study of analytical modeling of white space utilization for a Dynamic Spectrum Access (DSA) system. It contains the data for the results obtained while comparing analytical and simulated white space utilization (WSU) for synthetic data. It also contains Q-Q plot data which was used to show that the data collected from the metro Philadelphia area is approximately exponentially distributed. It has the histogram of channel 15 and 16 of Philadelphia LTE uplink data.

This dataset contains the results of simulated deployments of Environmental Sensing Capability (ESC) sensors along the coasts of the contiguous United States in the 3.5 GHz band. Commercial-federal spectrum sharing in the 3.5 GHz band requires the ESC sensors to detect federal incumbent shipborne radar in order to protect it from harmful interference from commercial users. We use existing tower sites as candidate locations for the sensors and the Irregular Terrain Model (ITM) in point-to-point mode to compute the path loss.

Data for "Quantum gate teleportation between separated qubits in a trapped-ion processor"

We present the development of pyLLE, a freely accessible Lugiato-Lefever equation solver programmed in Python and Julia and optimized for the simulation of microresonator frequency combs. Examples illustrating its operation and performance are presented.

The Digital Economy Satellite Account measures the digital economy's contribution to U.S. GDP, improves measures of high-tech goods and services, and offers a more complete picture of international trade. Includes valuing digital-enabling infrastructure, e-commerce transactions, and digital media.

This data set consist of rebinned data, with and without efficiency corrections, from the kl, km, and kn emission lines of the molybdenum x-ray spectrum.

Summary of analytical estimates and simulation results that are used to generate figures in a paper titled "Throughput Analysis between Unicast and MBSFN from Link Level to System Level". The paper is to be submitted to 2019 IEEE 90th Vehicular Technology Conference.

This dataset includes the files pertaining to a 3D additive manufacturing build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 8, 2018. The files include the input command files and in-situ process monitoring data, and metadata.

This tool is used to implement Monte Carlo analysis, which uses probabilistic sensitivity analysis to account for uncertainty. This tool is developed to follow the simulation segment of ASTM E1369. This technique involves a method of model sampling. Specification involves defining which variables are to be simulated, the distribution of each of these variables, and the number of iterations performed. The software then randomly samples from the probabilities for each input variable of interest. Three common distributions that are used include triangular, normal, and uniform.

The Manufacturing Cost Guide is a tool that estimates the costs that US manufacturers face and can be used to help gauge the potential returns on manufacturing industry research projects through cost reductions. These costs are grouped into various standardized categories such as the North American Industry Classification System (NAICS) and the Standard Occupational Classification (SOC) system along with other non-standardized costs.

The tool can be used to answer questions such as: