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- API datahub.smcgov.org | Last Updated 2014-07-18T21:28:41.000Z
Election turnout in San Mateo County for the 2008 Preseidential Election. Source provided by the California Secretary of State: http://www.sos.ca.gov/elections/elections
- API data.usaid.gov | Last Updated 2018-11-09T22:52:57.000Z
This dataset contains the number of emerging local staff participating in formal mentoring programs during the period 2010-2016, a part of the USAID Forward reform initiative that ran from 2010-2016. USAID Forward improved the way that the Agency delivers foreign assistance by embracing new partnerships, investing in the catalytic role of innovation, and demanding a renewed focus on results. In 2017, the Agency determined that the work advanced under USAID Forward had largely been institutionalized. On this site, you will find the FY 2012-2016 data related to USAID Forward's three main areas of focus: 1) Deliver results on a meaningful scale through a strengthened USAID, 2) Promote sustainable development through high-impact partnerships and local solutions, and 3) Identify and scale up innovative, breakthrough solutions to intractable development challenges. As of October 2017, we are no longer updating information, including collecting indicators, on this legacy effort.
- API data.opendatanetwork.com | Last Updated 2014-05-13T03:11:51.000Z
Improved Commercial Sales Determined to be Arms-Length and Verified by Assessor's Office Staff; Information is subject to change upon further review by appraisal staff; Area; Parcel Number; Situs; Grantor; Sale Date; Sale Price; Description of Sale
Mapa de calor accidentabilidad municipio de Guadalajara de Buga primer bimestre año 2017 / Map of heat accident Municipality of Guadalajara de Buga first bimester year 2017www.datos.gov.co | Last Updated 2019-03-05T17:07:01.000Z
Casos reportados y atendidos por la secretaría de tránsito sobre la accidentabilidad durante el primer bimestre del año 2017. / Cases reported and attended by the transit secretary about the accident during the first two months of 2017.
- API datahub.transportation.gov | Last Updated 2018-12-19T00:13:37.000Z
The Omnibus Surveys are a convenient way to get very quick input on transportation issues; to see who uses what, how they use it, and how users view it, and what they think about it; and to gauge public satisfaction with the transportation system and government programs.The series of surveys include: A monthly household survey of 1,000 households each month, which collects data on core questions about general travel experiences, satisfaction with the system, and some demographic data. Targeted surveys to address special transportation issues, as the U.S. Department of Transportation (DOT) operating administrations need them
- API dashboard.udot.utah.gov | Last Updated 2019-03-17T17:41:49.000Z
This dataset is an inventory of the assets on the site. Here you can track the performance of data publishing, metadata maintenance, as well as present an overview of what data exists on the site. Note: This is only updated once per day.
- API data.nasa.gov | Last Updated 2019-04-22T02:52:42.000Z
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c (GSSTF2c) Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. GSSTF version 2b (Shie et al. 2010, Shie et al. 2009) generally agreed better with available ship measurements obtained from several field experiments in 1999 than GSSTF2 (Chou et al. 2003) did in all three flux components, i.e., latent heat flux [LHF], sensible heat flux [SHF], and wind stress [WST] (Shie 2010a,b). GSSTF2b was also found favorable, particularly for LHF and SHF, in an intercomparison study that accessed eleven products of ocean surface turbulent fluxes, in which GSSTF2 and GSSTF2b were also included (Brunke et al. 2011). However, a temporal trend appeared in the globally averaged LHF of GSSTF2b, particularly post year 2000. Shie (2010a,b) attributed the LHF trend to the trends originally found in the globally averaged SSM/I Tb's, i.e., Tb(19v), Tb(19h), Tb(22v) and Tb(37v), which were used to retrieve the GSSTF2b bottom-layer (the lowest atmospheric 500 meter layer) precipitable water [WB], then the surface specific humidity [Qa], and subsequently LHF. The SSM/I Tb's trends were recently found mainly due to the variations/trends of Earth incidence angle (EIA) in the SSM/I satellites (Hilburn and Shie 2011a,b). They have further developed an algorithm properly resolving the EIA problem and successfully reproducing the corrected Tb's by genuinely removing the "artifactitious" trends. An upgraded production of GSSTF2c (Shie et al. 2011) using the corrected Tb's has been completed very recently. GSSTF2c shows a significant improvement in the resultant WB, and subsequently the retrieved LHF - the temporal trends of WB and LHF are greatly reduced after the proper adjustments/treatments in the SSM/I Tb's (Shie and Hilburn 2011). In closing, we believe that the insightful "Rice Cooker Theory" by Shie (2010a,b), i.e., "To produce a good and trustworthy 'output product' (delicious 'cooked rice') depends not only on a well-functioned 'model/algorithm' ('rice cooker'), but also on a genuine and reliable 'input data' ('raw rice') with good quality" should help us better comprehend the impact of the improved Tb on the subsequently retrieved LHF of GSSTF2c. This is the Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg, of this product has been released as Version 3. The GSSTF, Version 2c, daily fluxes have first been produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15). Then, the Combined daily fluxes are produced by averaging (equally weighted) over available flux data/files from various satellites. These Combined daily flux data are considered as the "final" GSSTF, Version 2c, and are stored in this HDF-EOS5 collection. There are only one set of GSSTF, Version 2c, Combined data, "Set1" The "individual" daily flux data files, produced for each individual satellite, are also available in HDF-EOS5, although from different collections: GSSTF_Fxx_2c, where Fxx are the individual satellites (F08, F10, etc..) The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. Relevant to this MEaSUREs project, these are converted to HDF-EOS5, and are stored in the GSSTF_NCEP_2c collection. Please use these
- API data.nasa.gov | Last Updated 2018-09-07T17:40:01.000Z
<p>In the latter half of the 20th century, microprocessors faithfully adhered to Moore’s law, the well-known formulation of exponentially improving performance. As Gordon Moore originally predicted in 1965, the density of transistors, clock speed, and power efficiency in microprocessors doubled approximately every 18 months for most of the past 60 years. Yet this trend began to languish over the last decade. A law known as Dennard scaling, which states that microprocessors would proportionally increase in performance while keeping their power consumption constant, has broken down since about 2006; the result has been a trade-off between speed and power efficiency. Although transistor densities have so far continued to grow exponentially, even that scaling will stagnate once device sizes reach their fundamental quantum limits in the next ten years. </p> <p>Due to this stagnation, processors, like those used for NASA’s navigation, communication, and telemetry systems, lack the scaling necessary to push space exploration further. A more energy efficient architecture/technology is required in order to increase the information bits per unit energy, and push processors architectures pass the thermal limits currently preventing increased speeds. Photonic integrated circuit (PIC) platforms provide a solution to this emerging challenge. PICs are becoming a key part of communication systems in data centers, where microelectronic compatibility and high-yield, low-cost manufacturing are crucial. Because of their integration, PICs can allow photonic processing at a scale impossible with discrete, bulky optical-fiber counterparts, and scalable, CMOS-compatible silicon-photonic systems are on the cusp of becoming a commercial reality. More specifically, Neuromorphic Photonics allow for the benefits of PICs to be merged with the benefits associated with non Von-Neumann processor architectures allowing for increases in both speed and energy efficiency.</p>
- API data.nasa.gov | Last Updated 2019-06-03T15:17:42.000Z
This data set contains Antarctica radar sounder echo strength profiles from the Hi-Capability Radar Sounder (HiCARS) Version 2 instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which was funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.
- API data.nasa.gov | Last Updated 2018-07-19T07:35:10.000Z
The BioWires project seeks to overcome two central issues identified in TA10-Nanotechnology: first, the miniaturization of nanoelectronics systems with features less than 10nm in size by 2025; and second the liberation of this technology from lithographic techniques for the minimization of upmass. Current technologies are unreliable at that scale and require exorbitantly heavy machinery to produce and maintain. This means that any unanticipated situations or failures encountered during a mission could not be addressed without large equipment, offsetting the impact of nanoscale systems. BioWires is an enabling technology, producing 2nm diameter wires in DNA that can self-assemble into advanced devices. In order to enhance the conductivity of nucleic acids to reach meaningful levels, a 1-atom thick chain of silver ions will be embedded into the core of the DNA strand. Because of the sequence specificity of DNA, these ions can be patterned in a variety of ways, ultimately allowing for advanced origami structures that mimic and ultimately replace nanoelectronic systems. These nanowire monomers can be synthesized by microorganisms at any point during a mission and self-assembled into devices without the burden of lithography and crippling upmass restrictions. This project has four phases. The first is to utilize a recent advance in single-molecule conductivity testing to bridge two carbon nanotubes with a DNA molecule. This process will take advantage of the hyprophillic interaction between PMMA and DNA by etching features onto silicon wafer to allow for specific placement of the molecules. This allows gold electrodes to be patterned at the ends of the tubes to generate molecule-specific data on electron transfer. Silver-embedded DNA will be assayed in this manner. The second phase will utilize this assembly and probing technique to assay a wide array of metalized nucleic acids by changing the metal, the pH, and the DNA structure. This will allow for the identification of the most conductive permutation and establish a basic monomeric toolkit for device assembly. The third phase will use the best system from the second phase to produce DNA origami structures in order to construct prototype nanoelectronic devices. The three target assemblies will be sheets, bundles and coils, allowing for microchip patterning, signal transduction and radio wave generation. These devices will provide a starting point for future manipulation of conductive biomolecular nanostructures. The final phase of the project will be to encode these DNA sequences back into microorganisms, specifically B. subtilis, a flight-tested microbe that is the target of current synthetic astrobiology research. This phase will employ techniques from synthetic biology and a modular system already created by the author to write the target one dimensional wires into the host DNA. Advanced origami structures can self-assemble from monomers produced by the bacterial chassis. This will reduce the upmass to a few spores that can be accessed at any point during a mission. Ultimately, this project will identify the ideal nucleic acid system for nanowire production at half an order of magnitude smaller than the TA10 target feature size. This will allow for the reliable, reproducible and scalable self-assembly of nanoelectronics from single components produced by a bacterial chassis, ultimately enabling minimal weight production and repair of a vast array of nanodevices on earth and in space.