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- API bronx.lehman.cuny.edu | Last Updated 2016-08-29T02:33:39.000Z
Bronx census tract boundaries from the 2010 census with SNAP data. Data reflects the percentage of recipients receiving SNAP. The total should add up or close to 100%. They are NOT the percentage of the population in that census tract receiving SNAP benefits.
- API opendata.utah.gov | Last Updated 2019-06-17T20:17:46.000Z
This data set contains educational levels by age and gender for Census Tract and Counties in Utah.
Domestic Airline Consumer Airfare Report - Detailed Fare Information for Selected City-Pair Markets With Highest and Lowest Average Fares-2009 Q4datahub.transportation.gov | Last Updated 2018-12-19T00:14:10.000Z
The US DOT through the Office of Aviation Analysis issues the Consumer Air Fare Report on a quarterly basis, which provides information about average prices being paid by consumers in the top 1,000 domestic city-pair markets in the continental United States. The source data is the US DOT Origin and Destination Survey.
- API stat.montgomerycountymd.gov | Last Updated 2018-10-22T15:01:34.000Z
Rent Survey PERCENTS
- API data.nasa.gov | Last Updated 2018-09-05T23:06:13.000Z
<p>We propose to use laboratory measurements to calibrate spectroscopic electron density diagnostics relevant for solar physics to accuracies of better than 20%. Our results will be directly applicable to solar spectroscopy and can also be used to test theoretical calculations. Improving the accuracy of density diagnostics will increase the scientific return of current and planned solar missions such as Hinode, SDO, Solar Orbiter, Solar-C, and sounding rocket observations such as EUNIS. This work will address the Laboratory Nuclear, Atomic, and Plasma Physics element of the Heliophysics Technology and Instrument Development for Science program. Density is a key parameter for solar physics. It is used to determine the energy and force balance in various solar regions and to understand the nature of solar structures. Among the numerous areas in which accurate density measurements are needed are coronal heating, coronal seismology, coronal mass ejections, solar flares, and understanding the nature of inhomogeneous structures in the solar atmosphere. The primary density diagnostics for solar plasmas use ratios of emission line intensities, at least one of which is density sensitive. This sensitivity arises due to the atomic physics of the system. It depends on the collisional excitation and deexcitation rates and radiative transition rates for the several atomic levels directly involved in the transition, as well as cascade contributions from many higher energy levels. Essentially all of these data comes from theoretical calculations, which have not been adequately tested. The theoretical results are usually compared to other calculations or to observed solar spectra, neither of which independently tests the theory. Moreover, the calculations rarely provide any uncertainty estimates and large systematic errors are possible depending on the complexity of the atomic model used. A recent comparison of several diagnostic line ratios showed discrepancies in the inferred density of factors of 2 to 10. This implies that observations are unable to accurately interpret spectra in order to describe solar structures, which severely limits our ability to model the underlying physics. Our measurements will reduce the uncertainty of density diagnostics by an order of magnitude. We will calibrate density sensitive line intensity ratios using the Electron Beam Ion Trap (EBIT) at the Lawrence Livermore National Laboratory. EBIT is a cylindrical trap, in which an axial magnetic field guides an electron beam running along the axis. The electron beam forms an electric potential well that confines the ions in the radial direction, while biased electrodes at each end provide axial confinement. Collisions between the ions and the electron beam ionize and excite the trapped ions. By adjusting the electron beam parameters we can vary the density in the trap and measure how the various line intensity ratios change. The ion emission line spectra will be measured using high resolution ultraviolet spectrometers. The electron beam density will be derived from the electron current and X-ray or extreme ultraviolet images of the beam. The effective density experienced by the ions depends on the overlap of the ion cloud with the electron beam. To determine the overlap, the geometry of the ion cloud will be measured using an optical CCD. The resulting effective electron density will range from 1E8 to 1E13 cm-3. We will also compare our results to new theoretical calculations and to published atomic data in order to identify the underlying causes of any discrepancies we find. We will concentrate on ions most relevant for solar physics. For example, we will measure diagnostics from Fe IX - XIII found in the 170-210 Angstrom wavelength band, as these lines and wavelengths are observed by various solar spectrometers. We will also measure diagnostic line ratios from other ions and wavelengths that are important for specific instruments.</p>
- API opendata.utah.gov | Last Updated 2019-06-17T20:32:03.000Z
This data set contains household survey data from Census. The American Community Survey was developed by the Census Bureau to replace the long form of the decennial census program. The ACS is a large demographic survey collected throughout the year using mailed questionnaires, telephone interviews, and visits from Census Bureau field representatives to about 3.5 million household addresses annually. Starting in 2005, the ACS produced social, housing, and economic characteristic data for demographic groups in areas with populations of 65,000 or more. (Prior to 2005, the estimates were produced for areas with 250,000 or more population.) The ACS also accumulates sample over 3-year and 5-year intervals to produce estimates for smaller geographic areas, including census tracts and block groups.
- API internal.open.piercecountywa.gov | Last Updated 2019-07-08T21:40:09.000Z
Annual Estimates of the Resident Population by gender. ACS 5 -Year Survey (DP05).
- API data.kingcounty.gov | Last Updated 2018-12-15T00:43:08.000Z
Cumulative eCanvass for King County Elections, August 7 2012 primary
- API opendata.utah.gov | Last Updated 2019-06-17T17:17:18.000Z
This data set contains school enrollment data by County and Census Tract in Utah from the Current Population Survey Data on School Enrollment US Dept of Census.
Percentage of children under 19 years of age with health insurance, New Jersey, by year: Beginning 2010healthdata.nj.gov | Last Updated 2019-02-15T01:22:41.000Z
Ratio: Percent of persons surveyed who had health insurance coverage at the time of the interview Definition: Percentage of New Jersey residents with health insurance coverage Data Sources: 1) US Census Bureau, Small Area Health Insurance Estimates 2) New Jersey Behavioral Risk Factor Survey, Center for Health Statistics, New Jersey Department of Health Suggested citation: New Jersey Behavioral Risk Factor Survey (NJBRFS). 3) New Jersey Department of Health, Center for Health Statistics, New Jersey State Health Assessment Data (NJSHAD) [online]. Accessed at http://nj.gov/health/shad