EarthCube Data Infrastructure: Collaborative Proposal: A unified experimental-natural digital data system for analysis of rock microstructures

EarthCube数据基础设施：协作提案：用于分析岩石微观结构的统一实验自然数字数据系统

• 批准号: 1639749
• 负责人: Julie Newman
• 金额: $ 16.29万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1639749&HistoricalAwards=false
• 关键词: EarthCube; Data; Infrastructure; Collaborative; Proposal

When viewed at the micro-scale, rocks reveal structures that help to interpret the processes and forces responsible for their formation. These microstructures help to explain phenomena that occur at the scale of mountains and tectonic plates. Interpretation of microstructures formed in nature during deformation is aided by comparison with those formed during experiments, under known conditions of pressure, temperature, stress, strain and strain rate, and experimental rock deformation benefits from the ground truth offered through comparison with rocks deformed in nature. However, the ability to search for relevant naturally or experimentally deformed microstructures is hindered by the lack of any database that contains these data. The researchers collaborating on this project will develop a single digital data system for rock microstructures to facilitate the critical interaction between and among the communities that study naturally and experimentally deformed rocks. To aid in the comparison of microstructures formed in nature and experiment, the researchers will link to commonly used analytical tools and develop a pilot project for automatic comparison of microstructures using machine learning. Rock microstructures relate processes at the microscopic scale to phenomena at the outcrop, orogen, and plate scales and reveal the relationships among stress, strain, and strain rate. Quantitative rheological information is obtained through linked studies of naturally formed microstructures with those created during rock deformation experiments under known conditions. The project will develop a single digital data system for both naturally and experimentally deformed rock microstructure data to facilitate comparison of microstructures from different environments. A linked data system will facilitate interaction between practitioners of experimental deformation, those studying natural deformation and the cyberscience community. The data system will leverage the StraboSpot data system currently under development in Structural Geology and Tectonics. To develop this system requires: 1) Modification of the StraboSpot data system to accept microstructural data from both naturally and experimentally deformed rocks; and 2) Linking the microstructural data to its geologic context ? either in nature, or its experimental data/parameters. The researchers will engage the rock deformation community with the goal of establishing data standards and protocols for data collection, and integrate our work with ongoing efforts to establish protocols and techniques for automated metadata collection and digital data storage. To analyze the microstructures studied and/or generated by these communities, we will ensure StraboSpot data output is compatible with commonly used microstructural tools. They will develop a pilot project for comparing and analyzing microstructures from different environments using machine-learning.

当在微观尺度上观察时，岩石揭示了有助于解释其形成的过程和力量的结构。 这些微观结构有助于解释在山区和构造板的规模上发生的现象。 与实验过程中形成的微观结构的解释在变形过程中形成的微观结构是有助于在已知的压力，温度，压力，应变率和应变率的已知条件下进行的，以及通过与自然界变形的岩石进行比较而提供的实验岩石变形。 但是，由于缺乏包含这些数据的任何数据库而阻碍了自然或实验变形的微观结构搜索相关的能力。 在该项目上合作的研究人员将开发一个用于岩石微观结构的单个数字数据系统，以促进自然研究和实验变形岩石研究的社区之间的关键相互作用。 为了帮助比较自然界和实验中形成的微观结构，研究人员将链接到常用的分析工具，并开发一个试点项目，以自动比较使用机器学习的微观结构。 岩石微观结构将微观尺度的过程与露头，造山基因和板尺度的现象相关联，并揭示了压力，应变和应变速率之间的关系。 定量流变信息是通过对自然形成的微观结构与在已知条件下岩石变形实验中创建的微观结构的联系研究获得的。 该项目将为自然和实验变形的岩石微结构数据开发一个单个数字数据系统，以促进从不同环境的微观结构进行比较。 链接的数据系统将有助于实验变形，研究自然变形和网络科学界的实践变形从业者之间的相互作用。 数据系统将利用当前正在开发的结构地质和构造学中的Strabospot数据系统。 要开发该系统，需要：1）修改Strabospot数据系统，以接受来自自然和实验变形岩石的微观结构数据； 2）将微结构数据与其地质环境联系起来？在本质上，或其实验数据/参数。 研究人员将吸引岩石变形界的目标，以建立数据标准和协议以收集数据，并将我们的工作与正在进行的努力集成，以建立自动化元数据收集和数字数据存储的协议和技术。 为了分析这些社区研究和/或生成的微观结构，我们将确保Strabospot数据输出与常用的微观结构工具兼容。 他们将开发一个试点项目，用于使用机器学习来比较和分析来自不同环境的微观结构。

项目成果

StraboSpot data system for structural geology

• DOI: 10.1130/ges02039.1
• 发表时间: 2019-04
• 期刊: Geosphere
• 影响因子: 2.5
• 作者: J. Walker;B. Tikoff;J. Newman;R. Clark;J. Ash;J. Good;Emily G. Bunse;A. Möller;M. Kahn;Randolph T. Williams;Z. Michels;J. Andrew;C. Rufledt

Building a universal orientation system for thin sections

构建薄切片通用定向系统

• DOI: 10.1016/j.jsg.2018.09.019
• 发表时间: 2019
• 期刊: Journal of structural geology
• 影响因子: 3.1
• 作者: Tikoff, Basil;Chatzaras, Vasileios;Newman, Julie;Roberts, Nicolas
• 通讯作者: Roberts, Nicolas