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Data Cataloguing ArchiMer
Quimbert, Erwann; Jeffery, Keith; Martens, Claudia; Martin, Paul; Zhao, Zhiming.
After a brief reminder on general concepts used in data cataloguing activities, this chapter provides information concerning the architecture and design recommendations for the implementation of catalogue systems for the ENVRIplus community. The main objective of this catalogue is to offer a unified discovery service allowing cross-disciplinary search and access to data collections coming from Research Infrastructures (RIs). This catalogue focuses on metadata with a coarse level of granularity. It was decided to offer metadata representing different types of dataset series. Only metadata for so-called flagship products (as defined by each community) are covered by the scope of this catalogue. The data collections remain within each RI. For RIs, the aim is...
Tipo: Text Palavras-chave: Catalogue; Metadata; Data; Interoperability; Standard; ISO; OGC; Format; Schema.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00642/75455/76273.pdf
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Automatic generation of documents AgEcon
Gini, Rosa; Pasquini, Jacopo.
This paper describes a natural interaction between Stata and markup languages. Stata’s programming and analysis features, together with the flexibility in output formatting of the markup languages, allow generation and/or update of whole documents (e.g., reports, presentations on screen or web). We give examples for both LaTeX and HTML.
Tipo: Journal Article Palavras-chave: Doutput; Format; Report; LaTeX; HTML; Markup language; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117554
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Mata Matters: Overflow, underflow and the IEEE floating–point format AgEcon
Linhart, Jean Marie.
Mata is Stata’s matrix language. The Mata Matters column shows how Mata can be used interactively to solve problems and as a programming language to add new features to Stata. In this quarter’s column, we investigate underflow and overflow and then delve into the details of how floating-point numbers are stored in the IEEE 754 floating-point standard. We show how to test for overflow and underflow. We demonstrate how to use the %21x format to see underflow and the %16H, %16L, %8H, and %8L formats for displaying the byte content of doubles and floats.
Tipo: Article Palavras-chave: Underflow; Overflow; Denormalized number; Normalized number; Subnormal number; Double precision; Missing values; IEEE 754; Format; Binary; Hexadecimal; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122590
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