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The Home Mortgage Disclosure Act (HMDA) requires many financial institutions to maintain, report, and publicly disclose information about mortgages

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Ionograms are recorded tracings of reflected high frequency radio pulses generated by an ionosonde. Unique relationships exist between the sounding frequency and the ionization densities which can reflect it. As the sounder sweeps from lower to higher frequencies, the signal rises above the noise of commercial radio sources and records the return signal reflected from the different layers of the ionosphere. These echoes form characteristic patterns of "traces" that comprise the ionogram. Radio pulses travel more slowly within the ionosphere than in free space, therefore, the apparent or "virtual" height is recorded instead of a true height. For frequencies approaching the level of maximum plasma frequency in a layer, the virtual height tends to infinity, because the pulse must travel a finite distance at effectively zero speed. The frequencies at which this occurs are called the critical frequencies. Characteristic values of virtual heights (designated as h'E, h'F, and h'F2, etc.) and critical frequencies (designated as foE, foF1, and foF2, etc.) of each layer are scaled, manually or by computer, from these ionograms. Typically, an ionosonde station obtains one ionogram recording every 15 minutes. When the scaling is done manually only the hourly recordings are routinely reduced to numerical data. Modern ionosondes with computer-driven automatic scaling procedures routinely scale all the ionograms recorded. The resulting numerical values, along with the original ionograms and station reports, are archived at five World Data Centers (WDCs) for Ionosphere. The ionosphere is divided into four broad regions called D,E, F, and topside. These regions may be further divided into several regularly occurring layers, such as F1 or F2.D Region: The region between about 75 and 95km above the Earth in which the relatively weak) ionization is mainly responsible for absorption of high-frequency radio waves. E Region: The region between about 95 and 150km above the Earth that marks the height of the regular daytime E layer. Other subdivisions isolating separate layers of irregular occurrence within this region are also labeled with an E prefix, such as the thick layer, E2, and a highly variable thin layer, Sporadic E. Ions in this region are mainly O2+. F Region: The region above about 150km in which the important reflecting layer, F2, is found. Other layers within this region are also described using the prefix F, such as a temperate-latitude regular stratification, F1, and a low-latitude, semi-regular stratification, F1.5. Ions in the lower part of the F layer are mainly NO+ and are predominantly O+ in the upper part. The F layer is the region of primary interest for radio communications.

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The Census Bureau maintains the ANSI (formerly FIPS) codes for Metropolitan and Micropolitan Statistical Areas.

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The Local Area Unemployment Statistics (LAUS) program produces monthly and annual employment, unemployment, and labor force data for Census regions and divisions, States, counties, metropolitan areas, and many cities, by place of residence.

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A national survey conducted to obtain information about changes in America's use of tobacco products as well as to understand public attitudes about smoking. The universe for this survey are persons eligible for basic CPS.

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The Runway Incursion database contains records of events involving the incorrect presence of an aircraft, vehicle or person on the protected area of a surface designated for the landing and take off of aircraft. Runway incursion events are reported by the respective air traffic control tower. The data reflect the ICAO definition of a runway incursion as well as the related severity categories. The runway incursion database is maintained by the FAA Office of Runway Safety.

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The Small Area Income and Poverty Estimates (SAIPE) program produces single-year estimates of median household income and poverty for all counties and states and poverty and population for all Title I-eligible school districts.

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The NBI (NTAD 2015) is a collection of information (database) describing the more than 610,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and county roads, as well as publicly-accessible bridges on Federal lands. It presents a State by State summary analysis of the number, location, and general condition of highway bridges within each State. Please note: 11,168 records in this database were geocoded to latitude and logtitude of 0,0 due to lack of location information or errors in the reported locations.

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This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) Surface Reflectance. The dataset spans from 1981 to 10 days from the present using data from seven NOAA polar orbiting satellites: NOAA-7, -9, -11, -14, -16, -17, and -18. The data are projected on a 0.05 degree x 0.05 degree global grid. The Version 4 Land Surface CDR products were produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland. The product was converted from HDF to netCDF-4 with CF metadata, and is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

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This dataset contains sale data information for Agency reported items sold via GSA Auctions® Sales. The data is for closed sales during FY2009. GSA Auctions® offers the public the opportunity to bid electronically on a wide array of Federal assets. The auctions are completely web-enabled, allowing all registered participants to bid on a single item or multiple items (lots) within specified timeframes. GSA Auctions® sale items include communications, computer, electric, electronic, agricultural, office, photographic, marine, laboratory, medical, dental and veterinary supplies and equipment; trailers, tractors, bicycles and salvage/scrap vehicles; furniture, household and personal items, industrial machinery, jewelry and collectibles. GSA Auctions® is accessible at http://www.gsaauctions.gov. Unregistered users may browse the site. Registration is required for bidders.

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The USGS Biodiversity Information Serving Our Nation (BISON) project is an online mapping information system consisting of a large collection of species occurrence datasets (e.g., plants and animals) found in the United States and relevant geospatial layers. Species occurrences are records of organisms at a particular time and location that are often collected as part of biological field studies and taxonomic collections. These data serve as a foundation for biodiversity and conservation research.

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As of 2012, a new gridded, daily 30 year precipitation estimation dataset centered over Africa at 0.1? spatial resolution has been developed. The Africa Rainfall Climatology version 2 (ARC2) is a revision of the first version of the ARC and is consistent with the operational Rainfall Estimation, version 2, algorithm (RFE2). ARC2 uses inputs from two sources: 1) 3-hourly geostationary infrared (IR) data centered over Africa from the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and 2) quality controlled Global Telecommunication System (GTS) gauge observations reporting 24-hour rainfall accumulations over Africa. The main difference between with ARC2 resides in the recalibration of all Meteosat First Generation (MFG) IR data (1983-2005). Validation and inter-comparison results show that ARC2 is a major improvement over ARC1, and is consistent with other long-term historical datasets such as Global Precipitation Climatology Project (GPCP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP).

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Daily U.S. Snow Monitoring is a web based product available at the National Climatic Data Center (NCDC). The data is extracted from the digital dataset U.S. COOP Summary of the Month (DSI-3220). This is meteorological data from the U.S. Cooperative Observer Network (COOP), which consists of stations operated by state universities, state or federal agencies, and also private individuals whose stations are managed and maintained by the National Weather Service (NWS). The network includes regular NWS offices, and airports with weather stations operated by the NWS or the Federal Aviation Administration (FAA). The Network also includes U.S. military bases. There are typically about 8,000 stations operating in any one year. The earliest data, organized by month, from DSI-3220 begins in 1886. Attributes from the extracted data include COOP ID, WBAN ID, Station Name, State, Year, Latitude, Longitude, Station Elevation, and Daily Snowfall.

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The 1906 San Francisco earthquake was the largest event (magnitude 8.3) to occur in the conterminous United States in the 20th Century. Recent estimates indicate that as many as 3,000 people lost their lives in the earthquake and ensuing fire. In terms of 1906 dollars, the total property damage amounted to about $24 million from the earthquake and $350 million from the fire. The fire destroyed 28,000 buildings in a 520-block area of San Francisco. The earthquake, centered near San Francisco, caused damage over a 640-km north-south area. It was felt as far north as Coos Bay and as far south as Los Angeles. The total felt area (971,000 km2) included most of California and parts of Nevada and Oregon. This earthquake apparently triggered far-field seismic activity throughout the United States until the 21st of April. Subsequent earthquakes were felt in the Imperial Valley of California, Milwaukee, Wisconsin, northern New Mexico, Ohio, and South Carolina.The earthquake was associated with the largest known displacement along a fault plane in the United States. Strike slip faulting on the San Andreas fault was observed for 317 km (190 miles) from Point Arena southward. Faulting in Humbol County on the Shelter Cove fault area was also observed. It is likely this fault was activated at the same time and ruptured separately from the San Andreas fault.) The greatest amount of horizontal slip (6.5 m) occurred near Port Reyer. The area to the southwest of the rift moved northwest relative to the area on the northeast of the rift (right-lateral strike-slip faulting). Besides the general horizontal displacement, there was a vertical movement of as much as 1.2 m in Sonoma and Mendocino counties.The rift, which began at 5:12:21 A.M. local time, came on shore 320 km north of San Francisco. Forests were demolished, and fences, roads, stream courses, and conduits which crossed the rift were dislocated. In addition to the great rift fissures, there were branch fissures, and considerable cracking of alluvial surfaces. Avalanches and earth slumps occurred, and where the ground contained excess water, earth flows were observed. Springs and artesian wells either increased or decreased in flow. Jets of water spurted through holes or fissures, creating mud or sand craterlets.Buildings on or near the surface fault were destroyed. Trees were uprooted or snapped off. Pipelines, broken along the many fissures, caused the water shortage that allowed raging fires to destroy the city.Generally, there was a decrease in intensity from the southwest toward the northeast, as the distance from the zone of faulting increased. However, the character of the ground also determined the amount of damage. The areas that incurred the most damage were those upon filled ground. In these areas, brick and frame houses were severely damaged or destroyed.Next in intensity to areas of filled land were those upon incoherent sands. There was a large amount of damage done in the cemeteries, which were built on sand. Movement in more than one direction was suggested by monuments twisted upon their bases. The damage in sandy areas was due to the shaking, settling, and sliding. The building destruction and the disturbance of railway roadbeds and rails was much more severe throughout the area covered by the inconsistent beds than on the older hard rock in the adjoining areas. Areas that had the least damage were on hard rock beds, chiefly of the Mesozoic Franciscan Formation. Although buildings throughout the City and County of San Francisco were damaged, most earthquake damage in this area was only moderate. Toppled chimneys and cracked plaster on walls and ceilings were common. The business district at Santa Rosa (30 km from the fault) was nearly totally demolished. Healdsburg, San Jose, and Agnews also had a large amount of damage. All these places were located on the valley floor on loose or only slightly coherent geological formations. The portions of Berkeley and Oakland, which were located on the alluvial slope, incurred more damage than the foothills, where the buildings were built on rock. In the Los Banos region of the western San Joaquin Valley (48 km from the rift) the shaking intensity was also unusually great. Petaluma and San Rafael, though nearer the rift than Santa Rosa, received less damage. These towns were for the most part on, or close to, rocky ground. In San Francisco, the fire continued unchecked for three days leaving 12.2 km2 burned. Finally, the fire was stopped by dynamiting structures in its path. The burned area included 520 city blocks; 418 km of streetcar and cable were destroyed. Thousands of businesses were destroyed, and hundreds of thousands of people were homeless. There were 350,000 who badly needed food. However, the disaster was unable to subdue the spirit of the people of the city. According to William Randolph Hearst, "The calamity seems overwhelming, and yet the people are not overwhelmed." The San Franciscans rebuilt their homes and businesses, and within two years, a new San Francisco arose from the ashes.

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Local Climatological Data (LCD) contains summaries from major airport weather stations that include a daily account of temperature extremes, degree days, precipitation amounts and winds. Also included are the hourly precipitation amounts and abbreviated 3-hourly weather observations. This is the final quality controlled copy and generally has a one to two month time lag. The local climatological data annual file is produced from the National Weather Service (NWS) first and second order stations. These data are contained in the LCD monthly and annual publications. The monthly summaries include maximum, minimum, and average temperature, temperature departure from normal, dew point temperature, average station pressure, ceiling, visibility, weather type, wet bulb temperature, relative humidity, degree days (heating and cooling), daily precipitation, average wind speed, fastest wind speed/direction, sky cover, and occurrences of sunshine, snowfall and snow depth. The annual summary with comparative data contains monthly and annual averages of the above basic climatological data in the meteorological data for the current year section, a table of the normals, means, and extremes of these same data, and sequential table of monthly and annual values of average temperature, total precipitation, total snowfall, and total degree days. Also included is a station location table showing in detail a history of, and relative information about, changes in the locations and exposure of instruments. The NCDC also archives a Preliminary Local Climatological Data manuscript that contains similar information, but is not quality controlled.

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The Federal Family Education Loan/Direct Loan Cohort Default Rates, 2011 (FFEL/Direct Loan CDR 2011) is a data collection that is part of the Federal Family Education Loan/Direct Loan Cohort Default Rate (FFEL/Direct Loan CDR) program; program data is available since 2009 at . FFEL/Direct Loan CDR 2011 (http://www.ifap.ed.gov/defaultmanagement/defaultmangement.html) is a cross-sectional data collection of supplementary data regarding and appeals by postsecondary and other eligible institutions participating in the Federal Family Education Loan (FFEL) and William D. Ford Federal Direct Loan (Direct Loan) programs to the rates of default by annual cohorts of students having attended those institutions and having received Federal assistance under the FFEL and Direct Loan programs against those same student loans, as calculated by Federal Student Aid using data derived from the National Student Loan Data System (NSLDS). Responding institutions use a web-based entry system to provide supplementary information and appeal the default rate calculation. Key statistics produced from this study are the cohort default rates (CDRs).

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This data file consists of Kp indices, Ap indices, Cp indices, C9 indices, sunspot number, and 10.7 cm flux. The most often requested parameter of this file are the Kp indices. These planetary indices are derived from the K indices ( a quasi-logarithmic three-hourly measure of magnetic activity ranging from 0 for the least disturbed periods to 9 for the most disturbed) from 12 observatories located between 46 degrees north geomagneticlatitude and 63 degrees south geomagnetic latitude.

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More than 100 social media channels and statistics for the National Archives and Records Administration.

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Bathymetry for Chesapeake Bay was derived from two hundred ninety-sevensurveys containing 3,178,509 soundings. Thirty-five older, lessaccurate, overlapping surveys were entirely omitted before tinning. Partialoverlap from other older, less accurate surveys was also omitted prior totinning. The surveys used dated from 1859 to 1993. Thirty-six surveys datedfrom 1859 to 1918, thirty-seven from the 1930s, ninety-one from the 1940s, sixty-six from the 1950s, twenty-five from the 1960s, twenty-four from the 1970s,fourteen from the 1980s, and four from the 1990s. The total range of soundingdata was 3.7 meters to -50.4 meters at mean low water. Mean high water valuesbetween 0.2 and 1.2 meters were assigned to the shoreline. Fifteen pointswere found that were not consistent with the surrounding data and were removedprior to tinning. DEM grid values outside the shoreline (on land) were assigned null values (-32676).Chesapeake Bay has two hundred eighteen 7.5 minute DEMs and ten onedegree DEMs. The 1 degree DEMs were generated from the higherresolution 7.5 minute DEMs which covered the estuary. A DigitalElevation Model (DEM) contains a series of elevations ordered fromsouth to north with the order of the columns from west to east. TheDEM is formatted as one ASCII header record (A- record), followed bya series of profile records (B- records) each of which include ashort B-record header followed by a series of ASCII integerelevations (typically in units of 1 centimeter) per each profile.The last physical record of the DEM is an accuracy record(C-record).The 7.5-minute DEM (30- by 30-m data spacing) is cast on theUniversal Transverse Mercator (UTM) projection. It provides coveragein 7.5- by 7.5-minute blocks. Each product provides the samecoverage as a standard USGS 7.5-minute quadrangle but the DEMcontains over edge data. Coverage is available for many estuaries ofthe contiguous United States but is not complete.

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The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil variables are available through this dataset, from temperatures, winds, and precipitation to soil moisture and atmospheric ozone concentration. The entire globe is covered by the GFS at a base horizontal resolution of 18 miles (28 kilometers) between grid points, which is used by the operational forecasters who predict weather out to 16 days in the future. Horizontal resolution drops to 44 miles (70 kilometers) between grid point for forecasts between one week and two weeks. The GFS model is a coupled model, composed of four separate models (an atmosphere model, an ocean model, a land/soil model, and a sea ice model), which work together to provide an accurate picture of weather conditions. Changes are regularly made to the GFS model to improve its performance and forecast accuracy. This dataset is run four times daily at 00z, 06z, 12z and 18z out to 192 hours with a 0.5 degree horizontal resolution and a 3 hour temporal resolution.

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Provides national, annual data on the characteristics of new privately-owned residential structures, such as square footage, number of bedrooms and bathrooms, type of wall material, and sales prices. Many characteristics are available at the region level. Data are funded by HUD and are collected in the Survey of Construction (SOC).

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The dataset contains unemployment rate data

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All of the data used on the Finder.HealthCare.gov web application is available through this API. There are multiple collections of data available through the API. 1. Public Options Data - This data set includes Medicaid, CHIP, High Risk and Territory data along with all of the other public options available. The appropriate options are returned based on the criteria submitted in the API call. 2. Individual and Family Health Insurance Options Data - Paginated individual and family health insurance plan data, a subset of the full plan data including pricing, is returned for plans that match the criteria submitted in the API call for available plans. Full plan data is returned when a specific plan is requested with all appropriate criteria. 3. Small Group Insurance Options Data - Paginated Small Group health insurance product data, a subset of the full product data including pricing, is returned for products that match the criteria submitted in the API call for available products. Full product data is returned when a specific product is requested with all appropriate criteria.

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The Mortality - Multiple Cause of Death data on CDC WONDER are county-level national mortality and population data spanning the years 1999-2009. Data are based on death certificates for U.S. residents. Each death certificate contains a single underlying cause of death, up to twenty additional multiple causes (Boolean set analysis), and demographic data. The number of deaths, crude death rates, age-adjusted death rates, standard errors and 95% confidence intervals for death rates can be obtained by place of residence (total U.S., region, state, and county), age group (including infants and single-year-of-age cohorts), race (4 groups), Hispanic ethnicity, gender, year of death, and cause-of-death (4-digit ICD-10 code or group of codes, injury intent and mechanism categories, or drug and alcohol related causes), year, month and week day of death, place of death and whether an autopsy was performed. The data are produced by the National Center for Health Statistics.

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The Commercial Buildings Energy Consumption Survey (CBECS) is a national sample survey that collects information on the stock of U.S. commercial buildings, their energy-related building characteristics, and their energy consumption and expenditures. Commercial buildings include all buildings in which at least half of the floorspace is used for a purpose that is not residential, industrial, or agricultural, so they include building types that might not traditionally be considered "commercial," such as schools, correctional institutions, and buildings used for religious worship. The CBECS was first conducted in 1979; the eighth, and most recent survey, was conducted in 2003. CBECS is currently conducted on a quadrennial basis.