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- API janesville.data.socrata.com | Last Updated 2018-03-07T15:54:00.000Z
The City of Janesville's Fire Department activities reported each month. Activities include incidents, inspections, transfers, and mutual aid statistics.
- API www.datahub.va.gov | Last Updated 2020-05-15T22:09:52.000Z
Strategic Analytics for Improvement and Learning Value Model or SAIL, is a system for summarizing hospital system performance within Veterans Health Administration (VHA). SAIL assesses key Quality measures in areas such as death rate, complications, and patient satisfaction, as well as overall efficiency at individual VA Medical Centers (VAMCs). Below you can download or view the data in spreadsheets listed by facility. SAIL data tables are updated every quarter.
- API stat.cityofgainesville.org | Last Updated 2016-08-28T20:12:19.000Z
AIRS/Aqua L3 daily CO2 in the free troposphere (AIRS+AMSU) 2.5 degrees x 2 degrees V005 (AIRX3C2D) at GES DISCdata.nasa.gov | Last Updated 2019-12-13T00:11:23.000Z
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. This product is the AIRS mid-tropospheric Carbon Dioxide (CO2) Level 3 Daily Gridded Retrieval, from the AIRS and AMSU instruments on board of Aqua satellite. It is daily gridded data at 2.5x2 deg (lon)x(lat) grid cell size. The data is in mole fraction units (data x 10^6 =ppm in volume). This is a total tropospheric column property. The file format is HDF-EOS 2.12 corresponding to HDF4. This AIRS mid-tropospheric CO2 Level 3 daily Gridded Retrieval Product contains standard retrieval means, standard deviations and input counts as well as the latitude and longitude arrays giving the centers of the grid boxes. Each file covers a 24-hour period. The mean values are simply the arithmetic means of the individual CO2 retrievals which fall within that grid box over the period. The mid-tropospheric CO2 retrievals have been averaged and binned into 2.5 x 2 deg grid cells, from -180.0 to +180.0 deg longitude and from -60.0 to +90.0 deg latitude. For each grid map of 4-byte floating-point mean values there is a corresponding 4-byte floating-point map of standard deviation and a 2-byte integer grid map of counts. The counts map provides the user with the number of points per bin that were included in the mean.
- API data.nasa.gov | Last Updated 2020-01-29T04:21:09.000Z
Managing teams of unmanned vehicles is currently time-consuming and labor intensive. There needs to be a way to control multiple UAV teams with minimal human oversight. The proposed innovation builds on and combines several technologies we have developed to create an architecture and set of software methods that will achieve this goal, significantly advancing the state of the art. The proposed innovations are based on our NASA-funded Aurora planning, resource allocation, and scheduling framework, which has proved optimal in many, many diverse domains, including UAV scheduling; a Probabilistic RoadMap Planner (PRMP) to plan detailed real-time UAV routes to rapidly satisfy and optimize a large number of simultaneous constraints and objectives; the asynchronous consensus-based bundle algorithm (ACBBA) for UAV-to-UAV task negotiation; and the concept of a play (from sports) represented using behavior transition networks (BTNs). The ultimate goal of this proposed effort is to allow intelligent UAV team coordination and control in an intelligent, predictable, and robust way, with little cognitive load on the human users. This will require intelligent real-time planning, role allocation, negotiation, and detailed path planning and, when communication is not possible, autonomous, intelligent, adaptive behavior by the UAVs. In Phase I, we will develop the required AI techniques to automate all aspects of intelligently executing, recommending, and/or automatically selecting appropriate plays, robustly assigning roles and planning routes, and adaptively executing each role, robustly and predictably in environments with varying levels of uncertainty. We will design the ultimate system and, to absolutely prove its feasibility, prototype all aspects of it in Phase I on *actual, physical UAVs*.
- API data.nasa.gov | Last Updated 2019-12-12T23:50:36.000Z
CAL_WFC_L1_1Km-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Native Science data. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.
- API performance.seattle.gov | Last Updated 2019-11-06T18:51:51.000Z
EMS incident response
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T04:54:48.000Z
The Solar Backscattered Ultra Violet (SBUV) from NOAA-9 Level-2 daily product (SBUV2N09L2) contains ozone nadir profile and total column data from retrievals generated from the v8.6 SBUV algorithm. The v8.6 SBUV algorithm estimates the ozone nadir profile and total column from SBUV measurements using 1) the Brion-Daumont-Malicet ozone cross sections, 2) an OMI-derived cloud-height climatology, 3) a revised a priori ozone climatology, and 4) inter-instrument calibration based on comparisons with no local time difference. The SBUV2N09L2 product is written as daily files using the HDF5 format, with file sizes ranging from about 1 to 5 Mbytes. Data are available from February 1985 through January 1998. The SBUV2N09L2 data product was used as input in creating the SBUV2N09L3zm monthly zonal mean data product.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:09:40.000Z
This data set provides a digital elevation model (DEM) for Antarctica to 81.5 degrees south latitude, at a resolution of 5 km. Approximately twenty million data points were used to generate this data set. Data points were derived from ERS-1 radar altimetry during the geodetic phase from March 1994 to May 1995. The improved density in coverage and resolution, compared with past satellite altimetry missions, provides better detection of topographic detail such as surface undulations, ice streams, grounding zones, and interstream ridges. DEM data are in a polar stereographic projection with the origin at the south pole, and are referenced to the OSU91A geoid. The ERS-1 satellite radar altimeter measurements are highly useful for determining precise ice sheet elevations in Antarctica. The orthometric heights derived from the ERS-1 data contribute to a more accurate and complete mapping of the Antarctic Ice Sheets than previously possible, and therefore to ongoing studies of ice mass balance studies in Antarctica. The DEM is provided as a single ASCII text file, accessible by ftp. Data access is unrestricted, but we recommend that users register with us. Registered users automatically receive e-mail notification of product updates and changes to processing.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:31:03.000Z
<p> Description: explore mission architectures to the Moon&#39;s southern Aitken Basin, the surface of Saturn&rsquo;s moon, Titan, and the surface of Venus that do not rely on Plutonium for power, but instead are powered by a metal-combustion engine. Objective: Using advanced metal combustion systems for power generation through turbines and Sterling engines rather than relying on radioisotope power systems Several targets of interest in solar system exploration require non-solar power sources due to permanent shading from craters or clouds due to extreme distance from the sun. These missions are typically considered with radioisotope power sources, but the scarcity of such fuel reduces the number of missions that NASA can execute in any decade. This study will explore mission architectures to the Moon&#39;s southern Aitken Basin, the surface of Saturn&rsquo;s moon, Titan, and the surface of Venus that do not rely on Plutonium for power, but instead are powered by a metal-combustion engine. The Applied Research Lab at Penn State has been developing advanced metal combustion systems for power generation through turbines and Sterling engines that have significantly higher energy density than chemical batteries. This NIAC study team will choose one of these missions to study in detail at the NASA Glenn Research Center&#39;s COMPASS Lab, resulting in a mission concept report. Proving the feasibility of using metal combustion to power spacecraft in sunless regions would be a breakthrough and shift our expectation of what explorations are possible through Discovery and New Frontiers missions without relying on radioisotope power sources.</p>