Collaborative Research: Seismic Reflection Data System for Marine Geosciences II

知识价值：在过去的三十年里，数字地震反射技术在促进我们对广泛的地球问题的理解方面发挥了重要作用，从海平面上升的历史和地球过去的气候，到海洋地壳的形成，再到俯冲边界的海啸断层带的结构。地震反射数据虽然对广泛的研究具有很高的价值，但获取成本也很高。保存这些数据对于最大限度地发挥它们的效用并确保它们在最初资助的NSF项目所设想的未来用途之外仍然可用是必不可少的。两个连接的海洋地震数据中心已经开发出来，为nsf赞助的项目提供数字收集，这些项目可以追溯到1974年的第一个采集项目。这些中心包含目前超过10tb的现场和处理数据，以及数据访问、发现和可视化工具。地理信息学的新发展为扩大对这些数字馆藏的获取和扩大对地球科学研究的参与带来了巨大的希望。在这个项目中，地震反射场数据和随后处理的数据将被捕获和保存，包括来自新的国家海洋地震设施的数据，R/V Langseth，唯一专门的学术地震船。将继续收集和保存新产生的地震数据，包括联卢行动任何船只的单通道项目的处理过的数据，以及没有系统存档现场地震数据的其他一些地方的数据。此外，还将从50多个项目中收集和保存较旧的野外和处理过的数据，其中约30个项目主要分布在科学家手中。将开发一种机制来跟踪数据提交，这将有助于科学界和国家科学基金会评估数据共享指南的遵守情况。将在两个数据中心之间开发无缝元数据互操作性，以展示分布式数据中心为现代发现、分析和共享提供底层元数据和服务的能力。该项目的主要遗产是能够在公共领域更完整地发现和访问地震反射数据，其中一些是直接通过这两个数据中心的数据，更多的是通过促进与美国其他地震数据资源共享元数据框架。该系统为科学家提供了一种简单的方式来共享数据，从而促进学术研究和教育，并满足NSF对共享在工作过程中创建或收集的数据、样本、物理收集和其他支持材料的期望。两个数据中心内正在进行的地震存档和分发项目的影响是重大和广泛的；超过37,000份地震文件已被收集，代表了现代学术海洋地震反射勘探的大部分遗产，并且超过16,000份文件已分发给来自学术，政府和商业企业的各种用户。这些数字数据收集将可用于更先进的研究工具（例如，GeoMapApp）以及正在开发的新工具。

Intellectual Merit: Over the past three decades, digital seismic reflection techniques have played a major role in advancing our understanding of a wide range of Earth problems, from the history of sea level rise and earth's past climate, to oceanic crust formation, to the structure of tsunamogenic faults zones at subduction boundaries. Seismic reflection data, while of high value for a broad range of studies, are also costly to acquire. Preservation of these data is essential to maximize their utility and ensure they remain available for future uses beyond those envisioned by the originally funded NSF project. Two linked marine seismic data centers have been developed that serve digital collections of NSF-sponsored projects going back to the first acquisition projects in 1974. These centers contain field and processed data that currently exceeds 10 TB, along with data access, discovery and visualization tools. New developments in geoinformatics hold great promise for expanding access to these digital collections and broadening participation in geoscience research.In this project seismic reflection field data and subsequently processed data will be captured and preserved, including data from the new National Marine Seismic Facility, the R/V Langseth, the only dedicated academic seismic ship. Aggregation and preservation of newly generated seismic data will continue, including processed data from single channel projects from any UNOLS ship, and for some others where field seismic data not being systematically archived. Older field and processed data will also be captured and preserved from more than 50 programs of which ~30 are dispersed mostly among scientists. A mechanism will be developed to track data submissions, which should help the scientific community and NSF evaluate compliance with data sharing guidelines. Seamless metadata interoperability will be developed across the two data centers to demonstrate the ability of distributed data centers to provide the underlying metadata and services aligned for modern discovery, analysis and sharing. The key legacy of this project is to enable more complete discovery of and access to seismic reflection data in the public domain, some directly, through the holdings in these two data centers, and much more from promoting a shared metadata framework with other resources for seismic data in the U.S.Broader Impacts: This system provides a simple way for scientists to share data thereby promoting academic research and education and meeting NSF expectations for sharing the data, samples, physical collections, and other supporting materials created or gathered in the course of the work. The impact from the ongoing seismic archiving and distribution projects within the two data centers is significant and widespread; over 37,000 seismic files have been amassed, representing much of the legacy of modern academic marine seismic reflection exploration, and over 16,000 files have been distributed to a wide variety of users from academic, government and commercial enterprises. These digital data collections will be usable for more advanced research tools (e.g., GeoMapApp) as well as new tools as they are developed.