Enhancing Research, Training, and Synthesis in Sedimentary Record Analyses: TMI Phase Two (Tool for Microscopic Identification)

加强沉积记录分析的研究、培训和综合：TMI 第二阶段（微观识别工具）

• 批准号: 1226265
• 负责人: Amy Myrbo
• 金额: $ 26.03万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1226265&HistoricalAwards=false
• 关键词: Enhancing; Research; Training; Synthesis; Sedimentary

1226265MyrboThis EAR Geoinformatics Program grant supports a two year project to augment development of a prototype informatics tool aimed at assisting non experts in identifying sedimentary minerals and organic components in smear slides to support paleorecords research on marine and lacustrine cores. Development of the prototype TMI (Tool for Microscopic Identification) has a resulted in an online application. Support from this grant will allow for augmented capabilities of TMI to include: 1) a workflow tool for electronic data capture of smear slide analysis during core description; and 2) a discovery and display tool for data stored in relevant databases. The design will involve a modular, reusable architecture capable of interacting with multiple external data sources (e.g., Neotoma) and workflow tools. TMI will collect and maintain a database of images and data in interpretive modules that will assist researchers and students without professional level experience in optical petrography to quickly identify sediment components in smear slides and to interpret the assemblages to place them in the context of litho- and bio-facies and their environmental and paleoenvironmental significance. ***

1226265 MyrboThis EAR GeoInformation Program赠款支持一个为期两年的项目，以加强一个原型信息学工具的开发，该工具旨在帮助非专家识别涂片中的沉积矿物和有机成分，以支持对海洋和湖泊岩心的古记录研究。TMI(显微鉴定工具)原型的开发已在网上得到应用。这笔赠款的支持将使TMI的能力得以增强，包括：1)在岩心描述期间用于涂片分析的电子数据捕获的工作流工具；以及2)存储在相关数据库中的数据的发现和显示工具。该设计将涉及能够与多个外部数据源(例如，Neotoma)和工作流工具交互的模块化、可重复使用的体系结构。TMI将收集和维护一个解释模块中的图像和数据数据库，以帮助没有光学岩石学专业水平经验的研究人员和学生快速识别涂抹玻片中的沉积物成分，并对组合进行解释，以将其置于岩石和生物相及其环境和古环境意义的背景下。***