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- API opendata.utah.gov | Last Updated 2018-01-10T21:19:00.000Z
Utah street centerline data for address location, cartography, routing. Uses the unnormalized Utah Transportation Data Model. Data is contibuted regularly from local, county, state, federal, and tribal governments and is aggregated and improved by AGRC.
- API bronx.lehman.cuny.edu | Last Updated 2016-08-27T18:51:41.000Z
Bronx Subway Station Locations
- API opendata.utah.gov | Last Updated 2019-02-11T21:18:31.000Z
Utah Ave Employment & Establishments Payroll NAICS 2002 Q3
- API data.cityofevanston.org | Last Updated 2019-05-29T19:48:57.000Z
This dataset lists monthly station entry averages, by day type (Weekday, Saturday or Sunday/Holiday), as well as monthly totals, beginning in 2001. Note that some stations (such as on the Cermak Branch--now Pink Line) and Skokie did not have Saturday and/or Sunday/holiday service until more recent years, although, in cases where weekday service ran past midnight, late evening fares may appear as part of Saturday tallies.
- API bronx.lehman.cuny.edu | Last Updated 2019-02-15T18:07:59.000Z
- API data.colorado.gov | Last Updated 2016-11-16T21:32:10.000Z
Each year, the Department of Transportation publishes a Performance Plan. Performance Plans summarize the near-term strategic and operational priorities for the Department, and explicitly connect organizational objectives to a system for managing the achievement of these priorities. The Performance Plan contains much detail about the work of the Department, to the level of individual processes by which they deliver goods and services to their customers, alongside their current focus areas. This is a core part of our approach for Customer- and Taxpayer-Focused Performance Management.
- API data.nasa.gov | Last Updated 2019-09-20T16:02:42.000Z
Data for the Near Real-Time SSM/I EASE-Grid Daily Global Ice Concentration and Snow Extent product are provided in two 25-km grids, in an azimuthal, equal area projection (the NSIDC SL and NL EASE-Grids).
- API data.nasa.gov | Last Updated 2019-09-20T16:05:34.000Z
This study and inventory of active rock glaciers was carried out by means of the usual techniques used in the study of alpine permafrost. First, the rock glaciers were located by means of aerial photography and field work. Second, a detailed geomorphological map was prepared, to detect the active processes in each rock glacier. This includes geotransect and surface analysis (clast roundness, clast forms, particle orientation and lichenometric measurements). Third, complementary measurements (water temperature and BTS [bottom temperature of snow] measurements) were carried out. These three studies allowed us to determine the activity or inactivity of previously detailed landforms, and to classify them as active, inactive, or relict rock glaciers. The external landforms, frontal slope, vertical organization, flow forms, absence of lichens and the descriptive parameters of rock glaciers allowed us to classify them as relict or active ones. On the Besiberri, Gemelos, and Argualas rock glaciers we have carried out photogrammetric studies, and on the Argualas rock glacier we carried out a topographic survey from 1991 and also geoelectric soundings (San Jose et al. 1992; Serrano et al. 1995; Fabre et al. 1995). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.
- API performance.commerce.gov | Last Updated 2019-07-08T16:39:19.000Z
This indicator demonstrates that NIST consistently produces useful and relevant scientific and technical publications and is outcome-oriented. The "relative citation impact" indicator is the ratio of the average number of citations per publication (citation rata) for all NIST publications in a year to the average expected citation rate for similar publications in a large group of peer institutions in the world. Publications typically lag by a minimum of two years due to the time needed for research, writing, journal peer review, and publication processes. The average for U.S. institutions is about 1.3.
Intelligent Transportation Systems Research Data Exchange - Safety Pilot Model Deployment - One Day Sample - Basic Safety Messagedatahub.transportation.gov | Last Updated 2018-12-19T00:13:44.000Z
The main objectives of the Safety Pilot Model Deployment (SPMD) include the exploration of the real-world effectiveness of connected vehicle safety applications in multi-modal driving conditions, the evaluation of how drivers adapted to the use of this connected vehicle technology, and the identification of potential safety benefits as a result of this connected vehicle technology. The SPMD - One Day Sample data environment contains sanitized mobility data elements that were collected from over 2700 vehicles, equipped with connected vehicle technologies, traversing Ann Arbor, MI. The data included in this data environment were generated on April 11, 2013. The mobility data provided in this environment is intended to support continued advancements in the connected vehicle domain as well as the development of applications to support improved transportation operation.