Provides data for employer businesses by sector, gender, ethnicity, race, veteran status, years in business, receipts size of firm, and employment size of firm for the U.S., states, and the fifty most populous metropolitan statistical areas (MSAs).

Provides data for employer firms by sector, gender, ethnicity, race, veteran status, and years in business for the U.S., states, and fifty most populous MSAs, including detailed business characteristics.

This document provides details on the experiment and associated measurement files available for download in the dataset ?In Situ Thermography During Laser Powder Bed Fusion of a Nickel Superalloy 625 Artifact with Various Overhangs and Supports.? The measurements were acquired during the fabrication of a small nickel superalloy 625 (IN625) artifact using a commercial laser powder bed fusion (LPBF) system. The artifact consists of two half-arch features with increasing degrees of overhangs, from 5° to 85°, in increments of 10°.

Daily Decennial Self-Response Rates

Curated List of State Economic Developer Contacts

One-minute averaged values and one-second instantaneous values for 2015 through 2018 for three grid-connected photovoltaic arrays on the NIST campus in Gaithersburg, Maryland USA. The arrays are built from monocrystalline silicon modules and range from 73 kW to 217 kW. Each array has a different tilt, orientation, and configuration. Irradiance, temperature, wind, and electrical measurements are recorded at each array.

SEDCORR is an open-source Python module designed to correct for the systematic energy deficits in atom probe mass spectra of electrically insulating samples. The assumption of the algorithm is that the mass spectrum for a dataset is conserved throughout the dataset and that any changes to the peak positions arise from an unknown slowly-fluctuating accelerating voltage. For computational speed, the unknown accelerating voltage is determined using a template matching FFT-based cross correlation method.

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”.

Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact.