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32 results for “NMC”
Text-fig. 3—Maxilla, TMM 41436-1 (stippled) compared with other tyrannosaurs (sensu Russell, 1970). The height of TMM 41436-1 is used as a standard, a, Tyrannosaurus rex, AMNH 5027, from photograph in Osborn (1912). b, Daspletosaurus torosus, NMC 8506, modified from Russell (1970). c, Albertosaurus libratus, FMNH PR 308, from AMNH negative No. 39113. in Tyrannosaurus and Torosaurus, Maestrichtian Dinosaurs From Trans-Pecos, Texas
Text-fig. 3—Maxilla, TMM 41436-1 (stippled) compared with other tyrannosaurs (sensu Russell, 1970). The height of TMM 41436-1 is used as a standard, a, Tyrannosaurus rex, AMNH 5027, from photograph in Osborn (1912). b, Daspletosaurus torosus, NMC 8506, modified from Russell (1970). c, Albertosaurus libratus, FMNH PR 308, from AMNH negative No. 39113.
Figure 12. NMC 8893 in The first complete description of the holotype of Brachylophosaurus canadensis Sternberg, 1953 (Dinosauria: Hadrosauridae) with comments on intraspecific variation
Figure 12. NMC 8893. Dorsal ribs in anterior view.
Figure 6. NMC 8893 in The first complete description of the holotype of Brachylophosaurus canadensis Sternberg, 1953 (Dinosauria: Hadrosauridae) with comments on intraspecific variation
Figure 6. NMC 8893. Hyoids in lateral (A, left; B, right) and medial (C, left; D, right) views.
Figure 3. NMC 8893 in The first complete description of the holotype of Brachylophosaurus canadensis Sternberg, 1953 (Dinosauria: Hadrosauridae) with comments on intraspecific variation
Figure 3. NMC 8893. Lateral (A, right; B, left) and dorsal (C) photographs of the skull.
Nimbus-6 Level 3 NMC Data Systems Test for the Global Atmospheric Research Program (GARP) V001 (NMCN6L3GARP) at GES DISC
The NMCN6L3GARP is the Nimbus-6 Level 3 NMC Data Systems Test for the Global Atmospheric Research Program (GARP) product. The product consists of meterological parameters, such as relative humidity, temperature, wind speed, etc. an a regular lat/lon grid reported every 12 hours. Data Systems Tests (DST) 5 and 6 were conducted to assess the NMC's numerical analysis and forecasting, and to determine the impact of meteorological satellite data from Nimbus-6 HRIR and SCAMS. DST-5 ran for the period of 30 August to 4 September 1975, and DST-6 was conducted from 29 February to 3 March 1976. The data were recovered from the original magnetic tapes, and are now stored online as orbit files in their original proprietary binary format with a days worth of data.These data were previously archived at NASA NSSDC under the entry ID ESAD-00094 (old id 775-052A-02B).
NMC Upper Air Derived Data (FIFE)
The Upper Air Derivative Data from NMC Data Set was derived from National Meteorological Center global upper air models. These models use a 6 hours intermittent assimilation method. In this method, the objective analysis is performed every 6 hours using a 6 hours forecast as an initial guess (Kanamitsu 1989). The National Meteorological Center (NMC) gridded upper air data was extracted from the NOAA operational analysis system and transmitted to the FIS. This contained spatially interpolated NMC upper air data calculated for four grid points of 381 km polar-stereograph over the FIFE area. FIS considers this a derived data set (i.e., not from original measurements).
Nimbus-6 Level 2 NMC Data Systems Test for the Global Atmospheric Research Program (GARP) V001 (NMCN6L2GARP) at GES DISC
The NMCN6L2GARP is the Nimbus-6 Level 2 NMC Data Systems Test for the Global Atmospheric Research Program (GARP) product. The product consists of meterological parameters, such as relative humidity, temperature, wind speed, etc., reported every 6 hours. Data Systems Tests (DST) 5 and 6 were conducted to assess the NMC's numerical analysis and forecasting, and to determine the impact of meteorological satellite data from Nimbus-6 HRIR and SCAMS. DST-5 ran for the period of 30 August to 4 September 1975, and DST-6 was conducted from 29 February to 3 March 1976. The data were recovered from the original magnetic tapes, and are now stored online as orbit files in their original proprietary binary format each with a days worth of data (14 orbits).These data were previously archived at NASA NSSDC under the entry ID ESAD-00094 (old id 775-052A-02B).
UARS Correlative NMC Daily Gridded Stratospheric Assimilated Data V001 (UARZCNMC) at GES DISC
The UARS Correlative assimilation data from NOAA's National Meteorological Center (NMC) consists of daily model runs at 12 GMT as a means of providing an independent analysis for comparison with data from the UARS instruments. The NMC data product includes temperature (Kelvin), humidity (%), geopotential height (m), and zonal and meridional wind components (m/s). Geopotential height and atmospheric temperature data are derived from two analysis systems: 1) tropospheric fields from 1000 to 100 mb, and 2) stratospheric analyses from 70 to 0.4 mb. The tropospheric fields are the 12 GMT gridded fields which are part of the Global Daily Assimilation System (GDAS), where data from radiosondes, aircraft, satellites, ships, bouys, or any other conventional means are assimilated and merged into meteorological fields (heights, temperature, winds). The stratospheric analyses are 12 GMT operational analyses at the 70 - 0.4 mb pressure levels produced from satellite temperature retrievals and RAOBS via a modified Cressman analysis. Tropospheric temperature analyses use combined NOAA-10 and NOAA-11 data. Moisture (northern hemisphere only) and Winds data are obtained from the NMC GDAS. The gridded fields are on the standard 65 x 65 NMC polar stereographic grid oriented 80W (grid increment 381 km at 60N), and 100E (grid increment 381 km at 60S); Pole at (33,33). The NMC uses 18 standard pressure levels for data at 1000, 850, 700, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 10, 5, 2, 1, 0.4 millibars. Height and temperature data are produced at all 18 pressure levels from 1000 mb to 0.4 mb. Moisture data are only produced in the northern hemisphere for the 6 lowest altitude pressure levels. Wind data are produced for the 12 lowest altitude levels in the northern hemisphere, and at the 4 levels 1000, 500, 300, and 250 mb in the southern hemisphere. There are four data files representing each subtype per day. Included in the NMC correlative data set will be a geographical data richness file. This file is used by the NMC access routines, and indicates the radiosonde coverage for each point on the NMC grid. The data files are available in a binary record oriented format.
NOAA/NMC/CAC Arctic and Antarctic Monthly Sea Ice Extent, 1973-1990, Version 1
Sea ice extent from January 1973 through August 1990 was digitized from weekly operational sea ice charts produced by the Navy/NOAA Joint Ice Center. Charts were digitized by hand using a 1 degree latitude x 2.5 degrees longitude grid. The grid boxes were then summed in 1 degree latitude x 10 degrees longitude slices, and the ice covered area computed. The data represent the extent of sea ice at the end of each month, given for 36 10-degree longitudinal sectors in each hemisphere. Data were provided by the NOAA National Weather Service National Meteorological Center (NMC) Climate Analyses Center (CAC).
Figure 5. NMC 8893 in The first complete description of the holotype of Brachylophosaurus canadensis Sternberg, 1953 (Dinosauria: Hadrosauridae) with comments on intraspecific variation
Figure 5. NMC 8893. Lateral (A, left; D, right) and medial (B, left; C, right) photographs of the lower jaws.
Chip-seq mapping of active chromatin marks in BRD4-NUT and different NMC cells
GEO Series GSE70870. Homo sapiens. 53 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Detection results of NMC particles in composite battery cathodes
<p>This dataset shows more examples of the NMC particles detection overlayed with the original images in composite battery cathodes.</p> <pre><code>@journal{li2022networkevolution, title={Dynamics of particle network in composite battery cathodes}, author={Li, Jizhou and Sharma, Nikhil and Jiang, Zhisen and Yang, Yang and Monaco, Federico and Xu, Zhengrui and Hou, Dong and Ratner, Daniel and Pianetta, Piero and Cloetens, Peter and Lin, Feng and Zhao, Kejie and Liu, Yijin}, year={2022}, journal={Science} }</code></pre>
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