Collaborative Proposal: EarthCube Integration: Geochronology Frontier at the Laboratory-Cyberinformatics Interface

合作提案：EarthCube 集成：实验室-网络信息学接口的地质年代学前沿

• 批准号: 1740694
• 负责人: Bradley Singer
• 金额: $ 144.97万
• 依托单位: University of Wisconsin-Madison
• 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 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1740694&HistoricalAwards=false
• 关键词: Collaborative; Proposal; EarthCube; Integration; Geochronology

This grant supports a partnership between geochronologists who have built and run laboratory facilities that are designed to measure the ages of rocks using radioisotopic and astronomical methods, geoscientists who are building synthetic databases that depend critically on accurate and precise ages of rocks in order to test hypotheses in the Earth and life sciences, and computer scientists who are building infrastructure components that are now being used broadly in education and research. The aim is to address a 'grand challenge' in the Earth sciences: to develop a fully integrated four-dimensional digital Earth so that we may fully understand dynamic Earth system evolution through time. To meet this goal the team is developing: (1) a robust cyberinfrastructure to manage and expose data produced by multiple distributed geochronology laboratory facilities around the USA, (2) a digital mechanism to enable scientists of all types to readily discover and use geochronologic data, while at the same time keeping age estimates closely connected to geochronology lab expertise and underlying, laboratory-specific data, (3) protocols and workflows that pass geochronological data and metadata from labs to synthetic geological and paleobiological databases and data repositories, and (4) software that can harness this new geochronological infrastructure and leverage it in order to generate age models for broad swaths of rocks and thereby enable the correlation of Earth system records across a range of nested spatial and temporal scales. Institutions formally collaborating in these efforts include: University of Wisconsin-Madison, University of Arizona, Boise State University, New Mexico Institute of Mining and Technology, and University of Minnesota.Geochronological data are central to our understanding of Earth's past and future. This collaboration between geo- and computer scientists is: (1) creating cyberinfrastructure that better leverages existing and new laboratory-generated geochronologic data, and (2) integrating this infrastructure with with synthetic databases including: Paleo Biology Data Base (https://paleobiodb.org), Neotoma Data Base (http://www.neotomadb.org), Macrostrat (https://macrostrat.org), as well as the Integrated Earth Data Alliance (IEDA) Geochron (http://www.geochron.org/) data repository using a standard that can be widely applied by others. The team's approach is unique in that it involves the parallel efforts of both the producers and consumers of geochronologic data as well as technical staff who have a working knowledge of geologic and biologic databases. The team is also well positioned to broadly serve geochronology because it engages three different geochemical/radioisotopic systems that address different geological problems and time scales. One of the overarching science goals of EarthCube is to characterize the key processes, interactions and feedbacks operating at and across different temporal and spatial scales and biological, chemical, mechanical, and physical domains. These modest, but concrete, steps allow the development of templates for distributed, laboratory cyberinfrastructure and geochronologically grounded models that can be adapted and used across Earth science communities. The aim is to share best practices and move Earth scientists towards an open, frictionless transfer of data and knowledge. The impacts of this project extend beyond the participating laboratories and collaborations and include: (1) three young geoscientists (1 PhD student and 2 Postdoctoral scholars) are gaining the cyberinformatics experience to become next generation faculty/research leaders, (2) a set of standards for distributed laboratory server operations is being created and implemented, forming the foundation for establishing a global network of lab-derived geochronological data, and (3) the GeochronAPI deployed across this network is providing a mechanism by which to integrate and synthesize geochronological data into independently developed applications, including geodiscovery-oriented Flyover Country (http://fc.umn.edu). Through workshops the team is engaging a wide spectrum of geochronologists to converge on an open standard for the GeochronAPI system, and their work with the synthetic databases highlighted above engages a large community spanning bio- and geoscience. All of the project's software, both lab-centric and external facing, is being made accessible in public GitHub repositories to encourage open, creative development.

这笔赠款支持地质年代学家和地球科学家之间的合作，地质年代学家建造并运行了旨在使用放射性同位素和天文学方法测量岩石年龄的实验室设施，而地球科学家正在建立关键依赖准确和精确的岩石年龄来检验假设的合成数据库地球和生命科学领域的科学家，以及正在构建基础设施组件的计算机科学家，这些基础设施组件现已广泛用于教育和研究。其目的是解决地球科学中的一个“重大挑战”：开发一个完全集成的四维数字地球，以便我们可以充分了解地球系统随时间的动态演化。为了实现这一目标，该团队正在开发：(1) 一个强大的网络基础设施，用于管理和公开美国各地多个分布式地质年代学实验室设施产生的数据，(2) 一种数字机制，使所有类型的科学家能够轻松发现和使用地质年代学数据，同时保持年龄估计与地质年代学实验室专业知识和基础的实验室特定数据密切相关，(3) 将地质年代学数据和元数据从实验室传递到合成地质和古生物学数据库和数据存储库的协议和工作流程，以及(4) 软件可以利用这种新的地质年代学基础设施，并利用它来生成大片岩石的年龄模型，从而实现一系列嵌套空间和时间尺度上的地球系统记录的关联。正式参与这些工作的机构包括：威斯康星大学麦迪逊分校、亚利桑那大学、博伊西州立大学、新墨西哥矿业技术学院和明尼苏达大学。地质年代学数据对于我们了解地球的过去和未来至关重要。地理科学家和计算机科学家之间的合作是：(1) 创建网络基础设施，更好地利用现有和新的实验室生成的地质年代学数据，以及 (2) 将此基础设施与合成数据库集成，包括：古生物学数据库 (https://paleobiodb) .org）、Neotoma 数据库 (http://www.neotomadb.org)、Macrostrat (https://macrostrat.org) 以及综合地球数据联盟 (IEDA) Geochron (http://www.geochron.org/) 数据存储库使用可以被其他人广泛应用的标准。该团队的方法是独特的，因为它涉及地质年代数据的生产者和消费者以及具有地质和生物数据库工作知识的技术人员的并行努力。该团队还处于广泛服务于地质年代学的有利地位，因为它涉及三种不同的地球化学/放射性同位素系统，可以解决不同的地质问题和时间尺度。 EarthCube 的首要科学目标之一是描述在不同时间和空间尺度以及生物、化学、机械和物理领域运行的关键过程、相互作用和反馈。这些适度但具体的步骤允许开发分布式实验室网络基础设施和地质年代基础模型的模板，这些模型可以在地球科学界进行调整和使用。其目的是分享最佳实践，推动地球科学家实现开放、无摩擦的数据和知识传输。该项目的影响超出了参与实验室和合作范围，包括：(1) 三名年轻的地球科学家（1 名博士生和 2 名博士后学者）正在获得网络信息学经验，成为下一代教师/研究领导者，(2) 一组分布式实验室服务器操作的标准正在创建和实施，为建立实验室衍生的地质年代学数据的全球网络奠定了基础，并且（3）跨该网络部署的 GeochronAPI 正在提供一种集成和综合地质年代学数据的机制独立开发的应用程序，包括面向地理发现的 Flyover Country (http://fc.umn.edu)。通过研讨会，该团队正在吸引广泛的地质年代学家，以制定 GeochronAPI 系统的开放标准，并且他们与上面强调的合成数据库的合作吸引了生物科学和地球科学领域的大型社区。该项目的所有软件，无论是以实验室为中心的还是面向外部的，都可以在公共 GitHub 存储库中访问，以鼓励开放、创造性的开发。

项目成果

Building and harnessing open paleodata

构建和利用开放古数据

• DOI: 10.22498/pages.26.2.49
• 发表时间: 2018
• 期刊: Past Global Change Magazine
• 作者: Williams, John W;Kaufman, DS;Newton, A;von Gunten, L
• 通讯作者: von Gunten, L

Interpreting and reporting 40Ar/39Ar geochronologic data

• DOI: 10.1130/b35560.1
• 发表时间: 2020-07
• 期刊: GSA Bulletin
• 作者: A. Schaen;B. Jicha;K. Hodges;P. Vermeesch;M. Stelten;C. Mercer;D. Phillips;T. Rivera;F. Jourdan;E. Matchan;S. Hemming;L. Morgan;S. Kelley;W. Cassata;M. Heizler;P. Vasconcelos;J. Benowitz;A. Koppers;D. Mark;E. Niespolo;C. Sprain;W. Hames;K. Kuiper;B. Turrin;P. Renne;J. Ross;S. Nomade;H. Guillou;L. Webb;B. Cohen;A. Calvert;N. Joyce;M. Ganerød;J. Wijbrans;O. Ishizuka;Huaiyu He;Adán Ramirez;J. Pfänder;M. López‐Martínez;H. Qiu;B. Singer

Automated extraction of spatiotemporal geoscientific data from the literature using GeoDeepDive

使用 GeoDeepDive 从文献中自动提取时空地球科学数据

• DOI: 10.22498/pages.26.2.70
• 发表时间: 2018
• 期刊: Past Global Change Magazine
• 作者: Marsicek, Jeremiah;Goring, SJ;Marcott, SA;Meyers, SR;Peters, SE;Ross, IA;Singer, BS;Williams, JW
• 通讯作者: Williams, JW

A quantitative assessment of snow shielding effects on surface exposure dating from a western North American 10Be data compilation

北美西部 10Be 数据汇编对雪屏蔽效应对地表暴露的定量评估

• DOI: 10.1016/j.quageo.2023.101440
• 发表时间: 2023
• 期刊: Quaternary Geochronology
• 影响因子: 2.7
• 作者: Ye, Shan;Cuzzone, Joshua K.;Marcott, Shaun A.;Licciardi, Joseph M.;Ward, Dylan J.;Heyman, Jakob;Quinn, Daven P.
• 通讯作者: Quinn, Daven P.