Project database

Factual databases mainly contain alphanumeric data on chemical compounds. In contrast to bibliographic databases, factual databases directly describe the objects primary data on chemical compounds) and provide the required information on them. Factual databases can be divided into numeric databases, metadatabases, research project databases, and catalogs of chemical compounds. 

Research project databases include information on abstracts and reports categorized by research projects. Such factual databases allow one to search for projects in various fields of science and technology wdth numeric and textual queries. 

Typical research project databases are UFORDAT (Environment Research in Progress) or Federal Research in Progress (FEDRIP). 

For more information about proposed CCS projects refer to CERA (2007), IEA (2006), or the IEA GHG R D Programme (www.ieagreen.org.uk) general C02 projects database is also available at www.co2captureandstorage.info. 

McArthur AG et al. (2000) The Giardia genome project database. FEMS Microbiol Lett 189 271-273... 

McArthur AG, Morrison HG, Nixon JE, Passamaneck NQ, Kim U, Hinkle G, Crocker MK, Holder ME, Farr R, Reich Cl, Olsen GE, Aley SB, Adam RD, Gillin FD, Sogin ML (2000) The Giardia genome project database. FEMS Microbiol Lett 189 271-273 Meza I (1992) Entamoeba histolytica phylogenetic considerations. A review. Arch Med Res... 

Validation of computer aided review tools, which may be used by in-house or regulatory reviewers to explore the project database on a read-only basis, should address both the system and project-specific aspects. 

Consistency of the viewed data with the project database... 

For submission of the sampling protocols by the participants, a server has been prepared and established at the ICTP network, providing a web-based interface to the project database. Also all necessary information for the participants was offered via this system. The system was found to work in a satisfactory and robust manner, also as an example for possible arrangements for future exercises. In this frame ... 

The design support software tools employed in the case study are of a completely different nature. They include commercial as well as legacy tools. Examples are Microsoft Excel, various process simulators such as Polymers Plus from Aspen Technology, gPROMS from PSE, MOREX, BEMFlow and BEMView from Institut filr Kunststoffverarbeitung at RWTH Aachen University, the project database Comos PT from innotec, the document manage-... 

Since 2007, monitoring data available through NORMAN project participants, NORMAN contact points, reference laboratories and other network members have started to be entered in the database. Whenever possible, the existing databases are uploaded directly into the project database via specific software interfaces. For collection of the other data, simple pre-programmed Excel sheets matching the structure of the database are used. 

Figure 7.2 Principle of the project database. The register database comprises three cross-tables Bs, , Man, and Man 2. All serum TSH, T3, and T4 results are imported into Bs, where primarily TSH and, in case of abnormal value, T3 and T4 are evaluated. Cases of biochemical overt hyper- or hypothyroidism are copied to cross-table Man, which consists of two subsections known cases (already registered in the database) and possible new case (without any prior database registration). All possible new cases are manually cross-checked (see text). All new cases are copied to cross-table Man 2 and after that registered as known cases. Data taken from Pedersen et al., (2002) with permission from Elsevier.

Links. PDB s search engine, the Structme Explorer, can be used to retrieve PDB records, as shown in Figure 5.2. The Structure Explorer is also the primary database of links to third-party aimotation of PDB structure data. There are a number of links maintained in the Structure Explorer to Internet-based three-dimensional structure services on other Web sites. Figme 5.2 shows the Structure Summary for the protein bamase (IBNR Bycroft et al., 1991). The Structure Explorer also provides links to special project databases maintained by researchers interested in related topics, such as structural evolution (FSSP Holm and Sander, 1993), structure-structure similarity (DALI Holm and Sander, 1996), and protein motions (Gerstein et al., 1994). Links to visualization tool-ready versions of the structure are provided, as well as authored two-dimensional images that can be very helpful to see how to orient a three-dimensional structure for best viewing of certain features such as binding sites. 

Pomona College Medicinal Chemistry Project database (. Sigma resonance (Oj ) values were derived from Op - Oj. Sterlc descriptors scaled to van der Waals radii (Charton s u) were selected from the literature (20, 21). 

M. Hull, EPA Research Project Database, 2005, contract EPD05027. 

Many biological databases (databanks) are embedded with tutorials that make it easy to explore their facilities. There are three sources of biological databases in-house dedicated sources (private and limited for focused projects), databases assembled by companies (mainly fees for services extensive and high-quality but expensive and restrictive such as Celera Genomics and Incyte Genomics), and public databases (such as GenBank, EMBL and DDBJ). An important distinction exists between primary (archival) and secondary (curated) databases. The primary databases represent experimental results with some interpretation (Table 14.11). Their record is the sequence or structure as it was experimentally derived. 

All sub-processes of the development process, beginning with the perception of deficiencies, require the analysis of process data. The data characterizes the system s performance and behaviour. This is necessary to parametrize the simulation model and build a credible basis for comparing the model s behaviour and reality. A common database maintained by both modellers and managers allows linking necessary and available information. A lack of data may lead to uncertainty, more complexity, and a loss in accuracy. Uncertainty is reflected e.g. by stochasticity at variables which in turn may lead to a larger number of simulation experiments and more volatile performance measures. On the other hand, the information collected in the project database needs to be relevant for the project. Otherwise, a flood of data to be evaluated and analysed hinders an efficient development process as it is time and resource consuming. 

The system architecture is as follows. Chemical structure information is handled in a graphics based system. A physicochemical data module, not yet fully operational, links analytical data to chemical structures. At a level below the structures are held compound data e.g. sample data such as solubility, and tracking data/test history. Under this are a number of biological project databases. Eventually there will be more than thirty of these, one for each project. 

Regarding the distribution of jump lengths, we know that the settlers did not always cover the same distance, and the distribution w x) should include the possibility of different jump lengths. This can be done by fitting the observed data to a continuous distribution. In [64], the jump distances covered by settlers were estimated from individual records obtained from the migrations.org project database, available at http //www.migrations. org. The authors collected 400 individual... 

Clark AM, Labute P. Detection and assignment of common scaffolds in project databases of lead molecules. J Med Chem 2009 52 469 83. 

The Ceramic Technology for Advanced Heat Engines Project Database March 1990 Summary Report and The CTAHE Database User s Guide are in review. 

The Ceramic Technology for Advanced Heat Engines Project Database ... 

Database with 20(>f national documents National organizations database National projects database... 

When producing any risk assessments, which include a significant contribution from the low frequency high consequence type events for which there is little or no historical experience, it is necessary to make predictions on the likelihood and consequences of the specific outcomes following the occurrence of a hazardous event. This process inevitably leads to the requirement for judgement-based assumptions. The accuracy of the overall risk results is therefore sensitive to the accuracy of the assumptions made. All assumptions made within the model are justified and recorded within the project database and associated documentation. 

What are the documents present in the main project database that can be accessed, viewed, downloaded and printed by EPCM personnel on site (e.g. specifications, drawings, equipment lists, data sheets, etc.) ... 

Which documents present in the project database, if any, can be modified from site (Perhaps only to raise them to as-built status) ... 

Hansch, C. Leo, A. The 1989 edition of the Pomoma College Medicinal Chemistry Project database of measured octanol-water partition coefficients and pKa s distributed by Daylight Chemical Information Systems, Irvine, California. 

Takashima, K., Mizukawa, Y., Morishita, K., Okuyama, M., Kasahara, T., Toritsuka, N., Miyagishima, T., Nagao, T., Umshidani, T., (2006). Effect of the difference in vehicles on gene expression in the rat liver-analysis of the control data in the Toxicogenomics Project Database. Life Sci. 78,2787-96. 

Research databases (RD). In research databases or better - research project databases - research projects are presented with the aid of datasets. 

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