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.

该补助金支持地质年代学家之间的伙伴关系，这些地质年代学家建立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，地质科学家正在建立严格依赖于准确和精确的岩石年龄的合成数据库，以测试地球和生命科学中的假设，以及计算机科学家，他们正在构建基础设施组件，这些组件现在被广泛用于教育和研究。其目的是解决地球科学中的“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动态地球系统随时间的演变。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）一个数字机制，使所有类型的科学家能够随时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综合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）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范围岩石的年龄模型的软件，从而使地球系统记录在一系列嵌套的空间和时间尺度上相互关联。正式合作的机构包括：威斯康星大学麦迪逊分校、亚利桑那大学、博伊西州立大学、新墨西哥州矿业与技术学院和明尼苏达大学。地理科学家和计算机科学家之间的这种合作是：（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）将该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）以及集成地球数据联盟（IEDA）Geochron（http：//www.geochron.org/）数据存储库，使用可被其他人广泛应用的标准。该小组的方法是独特的，因为它涉及地质年代学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平行努力。该团队也很好地为地质年代学提供广泛服务，因为它涉及三种不同的地球化学/放射性同位素系统，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、机械和物理领域运作的关键过程、相互作用和反馈。这些适度但具体的步骤允许为分布式实验室网络基础设施和基于地质年代学的模型开发模板，这些模板可以在地球科学界进行调整和使用。其目的是分享最佳做法，推动地球科学家实现开放、无摩擦的数据和知识转移。该项目的影响超出了参与实验室和合作的范围，包括：（1）3名青年地质学家（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）正在创建和实施一套分布式实验室服务器操作标准，形成了建立实验室衍生的地质年代学数据全球网络的基础，以及（3）在该网络上部署的GeochronAPI提供了一种机制，通过该机制将地质年代学数据集成和综合到独立开发的应用程序中，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，以汇集GeochronAPI系统的开放标准，他们与上述合成数据库的工作吸引了一个跨越生物和地球科学的大型社区。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，以鼓励开放的创造性开发。

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.