Collaborative Research: Seismic Reflection Data System for Marine Geosciences II

智力价值：在过去的三十年中，数字地震反射技术在促进我们对各种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，到洋壳的形成，再到俯冲边界处的海啸断层带的结构。地震反射数据虽然对于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其效用并确保它们仍可用于超出最初资助的 NSF 项目设想的未来用途至关重要。两个相连的海洋地震数据中心已经开发出来，为 NSF 资助的项目的数字集合提供服务，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 10 TB 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访问和扩大地球科学研究的参与带来了巨大的希望。在该项目中，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 R/V Langseth（唯一的专用学术地震船）的数据。新生成的地震数据的聚合和保存将继续进行，包括来自任何 UNOLS 船舶的单通道项目的处理数据，以及其他一些未系统归档的现场地震数据。较旧的现场和处理过的数据也将从 50 多个项目中捕获和保存，其中约 30 个项目主要分散在科学家中。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准则的遵守情况。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提供适合现代发现、分析和共享的底层元数据和服务的能力。该项目的主要遗产是使公共领域的地震反射数据能够更完整地发现和访问，其中一些直接通过这两个数据中心的持有，更多的是通过在美国推广与其他地震数据资源的共享元数据框架。更广泛的影响：该系统为科学家提供了一种简单的数据共享方式，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、物理收藏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且广泛的；已收集了超过 37,000 个地震文件，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 个文件已分发给来自学术界、政府和商业企业的广泛用户。这些数字数据集合将可用于更先进的研究工具（例如 GeoMapApp）以及开发的新工具。

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.