To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI).

To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI).

To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI).

To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI).

The data correspond to the paper Practical Correlation-Matrix Approaches for Standardized Testing of Wireless Devices in Reverberation Chambers. Abstract: We extend the autocorrelation-based approaches currently used in standards to full correlation matrix-based approaches in order to identify correlation between both spatially adjacent and non-adjacent samples in reverberation-chamber measurements. We employ a scalar metric that allows users to identify the number of effectively uncorrelated samples in new types of stirring sequences.

Videos and .stl files from Synergistic Fire Resistance of Nanobrick Wall Coated 3D Printed Photopolymer Lattices.The videos are from the fire tests of 3D printed photopolymer parts, from which time series still images were acquired. In these tests, printed parts (with or without a nanocoating) are subjected to direct blowtorch exposure until part failure (defined as when the part shatters). Most videos include time after torch removal while the part continues to burn.The .stl files are the files used to 3D print the parts studied in this work.

This file contains two items from the benefit records of the Social Security Administration (SSA) for the SIPP 1990 Panel: (1) a summary type of benefit code for the Old-Age-Survivors and Disability Insurance (OASDI) program, popularly known as Social Security for persons in current payment status as of December of the initial full calendar year of each panel, and (2) year of death for sample members identified as having died prior to 1997.

SIPP is a nationally representative longitudinal survey that provides comprehensive data about the income and government program participation of individuals and households in the United States. These microdata contain demographic and social characteristic information for each sample member, as well as detailed data on labor force activity, types and amounts of income, and participation in various cash and noncash benefit programs. Questions about these topics were repeated for eight interviews.

SIPP is a nationally representative longitudinal survey that provides comprehensive data about the income and government program participation of individuals and households in the United States. These microdata contain demographic and social characteristic information for each sample member, as well as detailed data on labor force activity, types and amounts of income, and participation in various cash and noncash benefit programs. Questions about these topics were repeated for eight interviews.

SIPP is a nationally representative longitudinal survey that provides comprehensive data about the income and government program participation of individuals and households in the United States. These microdata contain demographic and social characteristic information for each sample member, as well as detailed data on labor force activity, types and amounts of income, and participation in various cash and noncash benefit programs. Questions about these topics were repeated for eight interviews.