986 resultados para Metadata repository


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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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SUMMARY: We present a tool designed for visualization of large-scale genetic and genomic data exemplified by results from genome-wide association studies. This software provides an integrated framework to facilitate the interpretation of SNP association studies in genomic context. Gene annotations can be retrieved from Ensembl, linkage disequilibrium data downloaded from HapMap and custom data imported in BED or WIG format. AssociationViewer integrates functionalities that enable the aggregation or intersection of data tracks. It implements an efficient cache system and allows the display of several, very large-scale genomic datasets. AVAILABILITY: The Java code for AssociationViewer is distributed under the GNU General Public Licence and has been tested on Microsoft Windows XP, MacOSX and GNU/Linux operating systems. It is available from the SourceForge repository. This also includes Java webstart, documentation and example datafiles.

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Understanding how communities of living organisms assemble has been a central question in ecology since the early days of the discipline. Disentangling the different processes involved in community assembly is not only interesting in itself but also crucial for an understanding of how communities will behave under future environmental scenarios. The traditional concept of assembly rules reflects the notion that species do not co-occur randomly but are restricted in their co-occurrence by interspecific competition. This concept can be redefined in a more general framework where the co-occurrence of species is a product of chance, historical patterns of speciation and migration, dispersal, abiotic environmental factors, and biotic interactions, with none of these processes being mutually exclusive. Here we present a survey and meta-analyses of 59 papers that compare observed patterns in plant communities with null models simulating random patterns of species assembly. According to the type of data under study and the different methods that are applied to detect community assembly, we distinguish four main types of approach in the published literature: species co-occurrence, niche limitation, guild proportionality and limiting similarity. Results from our meta-analyses suggest that non-random co-occurrence of plant species is not a widespread phenomenon. However, whether this finding reflects the individualistic nature of plant communities or is caused by methodological shortcomings associated with the studies considered cannot be discerned from the available metadata. We advocate that more thorough surveys be conducted using a set of standardized methods to test for the existence of assembly rules in data sets spanning larger biological and geographical scales than have been considered until now. We underpin this general advice with guidelines that should be considered in future assembly rules research. This will enable us to draw more accurate and general conclusions about the non-random aspect of assembly in plant communities.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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El projecte Recursos web i metadades, que ha comptat amb una ajuda econòmica de la Divisió V per a projectes de recerca, es plantejà amb l'objectiu principal de comprovar les dificultats d'aplicació del sistema de metadades DC a la descripció de les pàgines d'un lloc web universitari i l'efectivitat d'aquestes metadades tant per a la descripció de recursos web com per a la seva ulterior cerca i recuperació. Per al desenvolupament del projecte s'han adaptat i desenvolupat una sèrie d'eines de les quals també es vol comprovar l'eficàcia. En aquest informe s'explica el desenvolupament del projecte, el seu estat el novembre de 2001 i també les eines desenvolupades

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L'explosió de la informació digital en les col·leccions bibliotecàries d'aquesta dècada passada ens ha ofert molts beneficis, especialment en relació al seu accés, emmagatzematge i ús. No obstant això, queden tota una sèrie de qüestions referents a la preservació a llarg termini d'aquests materials que encara no tenen resposta. Aquest article explora alguns dels aspectes principals, com ara les pròpies dades que cal preservar; les amenaces derivades de l'obsolescència dels mitjans físics d'emmagatzematge, els formats, el programari i el maquinari; les tècniques proposadesmactualment per a la preservació a llarg termini; la importància de conservar també les metadades, i els tipus d'institucions que estan implicades -o que haurien d'estar-hi- en la cerca de les solucions necessàries.

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The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

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Coincidint amb la renovació del web de la Biblioteca de la Universitat de Barcelona, al mes de juny s'inicià un procés d'avaluació amb l'objectiu de replantejar la utilització de les metadades com a eina d'indexació i recuperació de continguts de pàgines web. L'article s'estructura en tres parts principals. En una primera part, s'estableixen els antecedents del web de la Biblioteca, l'origen i la forma de la inclusió de metadades en les seves pàgines i l'evolució del tema fins a arribar al moment de l'avaluació. Tot seguit, s'exposen totes les dades analitzades en el procés d'avaluació fet, partint de conceptes i aspectes teòrics fonamentals de l'anàlisi de contingut. L'apartat de conclusions amb què finalitza l'article parteix de la interpretació de les dades dels dos processos de manera relacionada per oferir un seguit d'indicacions o pautes que cal tenir en compte en el replantejament de la utilització de metadades com a eina de representació de contingut i de recuperació d'informació de les pàgines web de la BUB.