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).

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).

This dataset presents statistics from the Census of Governments, State Government Finances conducted every five years (years ending in '2' and '7') and from the Annual Survey of State Government Finances in intermediate years. These programs identify the scope and nature of the nation's state government sector providing authoritative benchmark figures of public finance, including revenue, expenditures, and debt. Data are shown for the fiscal year for the given reference period.

This dataset provides standardized baseband test vectors for replicating radio frequency interference (RFI) in laboratory environments, specifically designed to support testing and performance assessment under IEEE Std 3388 (Standard for the Performance Assessment of Industrial Wireless Systems).

A unified, multi-language library implementing randomized algorithms for low-rank matrix factorizations of both real and complex matrices. The library provides efficient randomized sketching-based methods for large-scale matrix decompositions with consistent APIs across Python, MATLAB/Octave, and Julia.

This dataset contains behavioral data from 27 facial identification specialists over 24 experimental trials. In each trial, participants were presented with two face images of different identities and a third, initially occluded image matching the identity of one of the two images. Participants revealed facial features one by one on the occluded image until a matching decision could be made. A points system penalized both incorrect guesses and revealing more than one feature to encourage parsimonious revealing.