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Data organization

After the software installation two new directories will have been created in the root directory of the local PC. Assuming that the default pathway was used in the installation the program directory C Teach. .. has the directory structure shown in Fig. 1.2. The second directory C NMRSIM SESSION created contains all the pulse programs, spin systems and experimental set-ups files in the subdirectories C . .. CONFIG configuration files, C . .. HAM spin system files, C . .. PP pulse program files, C . .. WAVE pulse shape files, C . .. LIST lists files and C . .. JOB job files. Table [Pg.9]

1 lists the different file extensions that might be helpful for identification and working with external text editors. The full version of NMR-SIM also creates two additional subdirectories C . .. PP.AMX and C . .. PP.DMX containing the different pulse programming language versions of the pulse programs for BRUKER AM/AMX and DMX/DRX spectrometers. [Pg.9]

In the following discussion it is assumed that the default pathways have been used during the installation process. If different pathways have been selected during the installation this must be taken into account when using the Check its and other references in this book. [Pg.10]

File Simulation toces Analysi Output Display [Pg.10]


Off-line analysis of stored data review of the stored data, organize data in different presentation windows, plot AE and plant parameters data so as to enable comparison and coirelation with the possibility to present data (histogram of AE events vs position, plant parameters and/or AE parameters vs time) conditioned in terms of time interval (initial time, final time) and/or position interval (defined portion of the component = initial coordinate, final coordinate) and/or plant parameters intervals (one or more plant parameters = initial value, final value). [Pg.70]

Figure 5-3. a) Main organization of a database or container the basic units of a field are bits and bytes, b) Example of data organization in a flat-file. [Pg.229]

U. D. Wagle, G. W. Houston, A. J. Anderson, and O. L. Mageh, Technical Data— Organic Peroxide Decomposition Characteristics, Lucidol Division, Permwalt Corp., Buffalo, N.Y., 1977. [Pg.139]

Centralized Reliability Data Organization Input Guide Nuclear 1800 Component failure events causing abnormal operation engineering data for 20,000 components found in liquid metal reactors (e.g., LMRs). Gives generic data lor 45 equipment items (valves, pumps, etc.) Liquid metal reactor sites and test facility systems and components 62. [Pg.60]

Centralized Reliability Data Organization Input Guide... [Pg.62]

The Centralized Reliability Data Organization (CREDO) is maintained at ORNL to provide a central computer-based source of accurate, timely data and information for use in reliability, availability and maintainability analyses of liquid metal reactors (LMRs). CREDO is a component-based system, that addresses a comprehensive list of 45 genetic components that are representative of all components found at LMRs. [Pg.62]

The first thing we have to decide is whether these matrices should be organized column-wise or row-wise. The spectrum of a single sample consists of the individual absorbance values for each wavelength at which the sample was measured. Should we place this set of absorbance values into the absorbance matrix so that they comprise a column in the matrix, or should we place them into the absorbance matrix so that they comprise a row We have to make the same decision for the concentration matrix. Should the concentration values of the components of each sample be placed into the concentration matrix as a row or as a column in the matrix The decision is totally arbitrary, because we can formulate the various mathematical operations for either row-wise or column-wise data organization. But we do have to choose one or the other. Since Murphy established his laws long before chemometricians came on the scene, it should be no surprise that both conventions are commonly employed throughout the literature ... [Pg.8]

Column-Wise Data Organization for MLR and PCR Data Absorbance Matrix... [Pg.9]

Another way to visualize the data organization is to represent the row vector containing the absorbance spectrum as a line drawing —... [Pg.11]

Fire Incident Data Organization Database National Fire Protection Association (NFPA) Retrieved information... [Pg.400]

J. B. Pedley, J. Rylance. Sussex-N. P. L. Computer Analysed Thermochemical Data Organic and Organometallic Compounds. University of Sussex Brigton, 1977. [Pg.280]

Table III.Representative Analyses of Aroclors, Their Mixtures and a Transformer Oil Sample. Refer to Table 2 for key to data organization. Table III.Representative Analyses of Aroclors, Their Mixtures and a Transformer Oil Sample. Refer to Table 2 for key to data organization.
Unifying disparate information sources into a single data model is an intrinsically difficult process. Even when the same kinds of information are collected in different places, it is done so for different reasons, which are reflected in data organization. A common example is extraction of information from scientific literature, where the goal is to make a collection of a particular kind of data. Since the origins of the data are research papers, such efforts often result in document databases where the article is the primary entity and the content is represented by various attributes (e.g., lists of referenced molecules). However, a document-oriented database is rarely suitable for the specific requirements of most scientific investigations. Such efforts often invert ... [Pg.245]

Workshop on statistical analysis of atom-probe data, organized by M. K. [Pg.380]


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See also in sourсe #XX -- [ Pg.7 ]




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