Recent advances in methodology have made phosphopeptide analysis a tractable problem for many proteomicists. There are now a wide variety of robust and inexpensive enrichment strategies to generate phosphoproteomes, while free or inexpensive software tools for quantitation and site localization have simplified phosphoproteome analysis workflow tremendously.

Data presented is part of the journal manuscript "Optically Distributing Remote Two-node Microwave Entanglement using Doubly Parametric Quantum Transducers." Data includes graphical plots generated from numerical models and computations for various network topologies which illustrate their thresholds for achieving quantum information transfer.

Although Rydberg atom-based electric field sensing provides key advantages over traditional antenna-based detection, it remains limited by the need for a local oscillator (LO) for low-field and phase resolved detection. In this work, we demonstrate the general applicability of closed-loop quantum interferometric schemes for Rydberg field sensing, which eliminate the need for an LO. We reveal that the quantum-interferometrically defined phase and frequency of our scheme provides an internal reference that enables LO-free full 360 degree-resolved phase sensitivity.

This dataset represents absorption/transmission spectra of resonant probe light power through a Rydberg atom vapor, subject to a simultaneous dressing field and a 'low frequency' field. Data is taken as an oscilloscope average of 5 photodiode voltage traces, with frequency offsets given by a simultaneous reference cell (not included). Some data are given as 2-D arrays, with axes of laser detuning across a waterfall of field strength. Some data represents theory eigen-energies of the system, for comparison. This paper will be submitted to Physical Review Letters.

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members.

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".

The files include dynamic light scattering (DLS), small angle neutron scattering (SANS), and neutron spin echo spectroscopy (NSE) data that were analyzed in writing the manuscript. The SANS data were collected on the NGB30 SANS and NG3 vSANS instruments at the NIST Center for Neutron Research (NCNR) and have been reduced to absolute intensity using standard procedures. The NSE data were collected on the NGA NSE instrument at the NCNR and have been corrected for the instrument resolution and solvent signal.

When run, the GFCM creates tabular and graphical data of the hourly operating status and market outcomes for the generators that make up the electric generating fleet.

This is the corresponding analysis script for the preprint paper, Forensic facial examiners vs. super-recognizers: Evaluating behavior beyond accuracy available from https://doi.org/10.1002/acp.4003.

The Congressional District Summary File (118th Congress) (CD118) contains the data compiled from the questions asked of all people and about every housing unit in the 2020 Census. This product retabulates selected summary levels from the Demographic and Housing Characteristics File (DHC) for the 118th Congress and 2022 state legislative districts.