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- API data.usaid.gov | Last Updated 2018-11-13T03:43:31.000Z
The Latin America Public Opinion Project (LAPOP) implemented this survey in Honduras as part of its 2008 round of surveys. The 2008 survey was conducted by Vanderbilt University and Borge y Asociados.,
- API stat.cityofgainesville.org | Last Updated 2016-08-28T20:18:53.000Z
- API stat.cityofgainesville.org | Last Updated 2016-08-28T20:18:27.000Z
- API www.datahub.va.gov | Last Updated 2020-05-15T22:12:34.000Z
<p>This is the Department of Veterans Affairs, Freedom of Information Act (FOIA) Report for Fiscal Year 2000. The report contains metrics on FOIA requests received, processed, and pending by agency/component. It also contains metrics on exemptions, appeals, consultations, response times, and backlogs. Fees collected, fees waived, and FOIA personnel and costs are reported. Comparison of metrics attained for the previous year is also included.</p>
- API stat.cityofgainesville.org | Last Updated 2016-08-28T20:12:19.000Z
- API data.livewellsd.org | Last Updated 2018-08-17T19:03:21.000Z
Housing Occupancy Distribution by City, 2016. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S2503, DP04.
- API data.nasa.gov | Last Updated 2019-12-13T00:21:55.000Z
ML1RADT is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the THz radiometer. The data version is 3.3/3.4. Data coverage is from August 8, 2004 to June 30, 2015. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), and files contain a full days worth of data (15 orbits). Users of the ML1RADT data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' document for additional information. The data are stored in the version 5 Hierarchical Data Format, or HDF-5. Each file contains radiances and ancillary information written as HDF-5 dataset objects (n-dimensional arrays), along with file attributes and metadata.
A Light Weight, Mini Inertial Measurement System for Position and Attitude Estimation on Dynamic Platforms, Phase IIdata.nasa.gov | Last Updated 2020-01-29T01:50:55.000Z
Impact Technologies, LLC in collaboration with the Rochester Institute of Technology, proposes to develop and demonstrate a flight-worthy hardware prototype of a miniature, low cost/weight/ power device that provides stable and highly accurate near continuous positioning, attitude, and inertial measurements while being subjected to highly dynamic maneuvers and high vibration effects. In contrast to conventional methods that utilize either unreliable magnetic field sensors or extensive ground-based real-time tracking and control units that are expensive, large and power-consuming to operate, our innovative design focuses on identifying the gravitational vector onboard in real-time to bound sensor drift errors to achieve high degree of accuracy. The objective is achieved by a unique design that combines a dual-arc low-cost accelerometer array with three-axis rate gyros and GPS. Advanced filtering techniques such as the Unscented Kalman Filter are proposed to estimate sensor bias and drift effects. High vibration effects are estimated and eliminated by subtracting the imposed loading from the accelerometer measurements to provide a highly robust system in the presence of highly dynamical and vibrational conditions. Testing of the prototype system includes shaker table laboratory and hardware-in-the-loop tests along with an optional relevant vehicle platform test with support from NASA.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T07:54:43.000Z
The EUMETSAT OSI-SAF NAR SST products are SST fields derived from NOAA/AVHRR data and available over 6 pre-defined zones, 4 times per day. After acquisition and calibration at CMS, the NOAA/AVHRR data are re-mapped onto a stereopolar grid to produce mosaics of consecutive orbits over Europe and the Near Atlantic at a 2 km resolution. Mosaics are made over a "Rectification Grand Domaine" area (RGD). For re-mapped grid points observed by more than one overpass, the smallest satellite zenith angle data are selected. In the normal conditions when two satellites are operational, four mosaics per day are produced for all the AVHRR channels. SSTs are then calculated from these data. Six zones are then extracted . They are 1024 * 1024 pixels in size to offer the users (presumably interested by local phenomena) the possibility of handling a restricted volume of data. Note that SSTs are calculated over the entire RGD, but only the predefined zones are delivered as NAR products.The operational CMS AVHRR cloud mask in use is based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including Use of fine scale climatology and a fine gradiant climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. SSTs are derived from the 11 and 12 micron brightness temperatures (T11 and T12) . The NOAA /AVHRR has three IR channels : channel 3 (3.6-3.8 micron), channel 4 (10.2-11.2 micron) and channel 5 (11.5-12.5 micron) which provide IR data at 1-km spatial resolution at the satellite subpoint (Kidwell, 1997). NOAA-14 and NOAA-16 have similar characteristics, but with distinct radiometer filter functions that necessitate distinct algorithm coefficients. The algorithms coefficients are derived from multilinear regression on a simulation database . At night the use of the 3.7 channel in a triple window algorithm improves the SST retrieval performances under high water vapor content conditions. The expected accuracy is defined as the expected bias and standard deviation of the primary calculations against drifting buoy measurements determined on a monthly or yearly basis. The following performance evaluation was derived from a detailed validation of NOAA/AVHRR derived SSTs (Brisson et al 2001). Bias: Apart for the first 2 months after the launch of a new satellite, the monthly biases should remain within +/-0.4 K by night. By day local biases of several K are possible because of shallow diurnal heating. Standard deviation: see table below: low-cloud cases (cloud coverage less than 10% of the validation box) have been separated from all cases (cloud coverage less than 60%). The "expected maximum standard deviation" or the expected maximum biases are the maximum values that can be observed under normal conditions. When these values are overpassed, some anomaly may have occurred and the problem must be identified. Standard deviation Table Yearly, all Monthly, all Yearly, low-cloud Monthly, lowcloud 0.7 0.8 0.6 0.7 Physical definition subskin SST : Comparable to in situ (buoy) measurements at night. Relation to bulk SST: equivalent to bulk SST by night. By day, a bias of several Kelvin may be found under favorable diurnal heating conditions, Relation to skin SST: By day and by night the subskin SST is convertible to skin temperature by subtracting 0.2K. Units and range Units: Centi-Kelvins When using GRIB format, a scaling factor of 100 must be applied. No lower limit is imposed on the SST calculations, providing the sea is ice free. The expected range is thus from about -3 degC till 35 degC, corresponding to actual values of 27000 to 30800. Unprocessed data (for whatever reason) show a negative value (-32768) in HDF format, or is flagged as missing in GRIB section3. Origin SST calculated from the IR channel data of the NOAA/AVHRR re-mapped onto a stereopolar grid at 2 km resolution. SST are extracted over 6 pre-
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T07:52:14.000Z
The Tropical Rainfall Measuring Mission (TRMM) is a joint U.S.-Japan satellite mission to monitor tropical and subtropical precipitation and to estimate its associated latent heating. TRMM was successfully launched on November 27, at 4:27 PM (EST) from the Tanegashima SpaceCenter in Japan. The rainfall measuring instruments on the TRMM satellite include the Precipitation Radar (PR), an electronically scanning radar operating at 13.8 GHz; TRMM Microwave Image (TMI), a nine-channel passive microwave radiometer; and Visible and Infrared Scanner (VIRS), a five-channel visible/infrared radiometer. The purpose of the 3B42 algorithm is to produce TRMM-adjusted merged-infrared (IR) precipitation and root-mean-square (RMS) precipitation-error estimates. The algorithm consists of two separate steps. The first step uses the TRMM VIRS and TMI orbit data (TRMM products 1B01 and 2A12) and the monthly TMI/TRMM Combined Instrument (TCI) calibration parameters (from TRMM product 3B31) to produce monthly IR calibration parameters. The second step uses these derived monthly IR calibration parameters to adjust the merged-IR precipitation data, which consists of GMS, GOES-E, GOES-W, Meteosat-7, Meteosat-5, and NOAA-12 data. The final gridded, adjusted merged-IR precipitation (mm/hr) and RMS precipitation-error estimates have a 3-hourly temporal resolution and a 0.25-degree by 0.25-degree spatial resolution. Spatial coverage extends from 50 degrees south to 50 degrees north latitude. The daily accumulated (beginning at 00Z and ending at 21Z; unit: mm) rainfall product is derived from this 3-hourly product. The data are stored in flat binary. The file size is about 2.25 MB (uncompressed).