建立一个多尺度、协作性和时间整合的数字地壳:Macrostrat 数据系统的下一阶段

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Daven P. Quinn, Casey R. Idzikowski, Shanan E. Peters
{"title":"建立一个多尺度、协作性和时间整合的数字地壳:Macrostrat 数据系统的下一阶段","authors":"Daven P. Quinn,&nbsp;Casey R. Idzikowski,&nbsp;Shanan E. Peters","doi":"10.1002/gdj3.189","DOIUrl":null,"url":null,"abstract":"<p>Macrostrat is a platform for deep-time geoscientific research that integrates stratigraphic columns and geologic maps into a digital description of the crust. The database and supporting software track crustal evolution and provide location-based geological information to geoscience end users. Macrostrat houses multiple scales of mapping and stratigraphic data, from continent- and basin level summaries to single quadrangles and measured sections. Currently, Macrostrat's primary data holdings consist of regional stratigraphic columns with a spatial footprint weighted heavily to North America. While the data are of sufficient scale and resolution to generate insights about Earth evolution, increasing resolution and expanding spatial coverage will allow a new generation of scientific and interpretive uses. The next phase of Macrostrat's development will increase the detail and complexity of Macrostrat's multiscale data holdings, largely by engaging a wider range of geoscientists in entering stratigraphic data. To support broad collaboration, we are building new web-based software to assemble and visualize regional stratigraphic sequences, refine multiple working age models, and compose regional records from measured stratigraphic sections. These tools will allow Macrostrat to draw on the expertise of a wide range of geoscience workers and grow a dataset with global relevance and a variety of end uses. New capabilities will pave the way to processes for submission, review, coordination, and assimilation of community-contributed stratigraphic datasets. Digital compilation of geological maps and columns requires substantial effort, and well-designed systems for distributing this work in the geoscience community will allow Macrostrat to build more adaptable and scientifically relevant products.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"11-26"},"PeriodicalIF":3.3000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.189","citationCount":"0","resultStr":"{\"title\":\"Building a multi-scale, collaborative, and time-integrated digital crust: The next stage of the Macrostrat data system\",\"authors\":\"Daven P. Quinn,&nbsp;Casey R. Idzikowski,&nbsp;Shanan E. Peters\",\"doi\":\"10.1002/gdj3.189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Macrostrat is a platform for deep-time geoscientific research that integrates stratigraphic columns and geologic maps into a digital description of the crust. The database and supporting software track crustal evolution and provide location-based geological information to geoscience end users. Macrostrat houses multiple scales of mapping and stratigraphic data, from continent- and basin level summaries to single quadrangles and measured sections. Currently, Macrostrat's primary data holdings consist of regional stratigraphic columns with a spatial footprint weighted heavily to North America. While the data are of sufficient scale and resolution to generate insights about Earth evolution, increasing resolution and expanding spatial coverage will allow a new generation of scientific and interpretive uses. The next phase of Macrostrat's development will increase the detail and complexity of Macrostrat's multiscale data holdings, largely by engaging a wider range of geoscientists in entering stratigraphic data. To support broad collaboration, we are building new web-based software to assemble and visualize regional stratigraphic sequences, refine multiple working age models, and compose regional records from measured stratigraphic sections. These tools will allow Macrostrat to draw on the expertise of a wide range of geoscience workers and grow a dataset with global relevance and a variety of end uses. New capabilities will pave the way to processes for submission, review, coordination, and assimilation of community-contributed stratigraphic datasets. Digital compilation of geological maps and columns requires substantial effort, and well-designed systems for distributing this work in the geoscience community will allow Macrostrat to build more adaptable and scientifically relevant products.</p>\",\"PeriodicalId\":54351,\"journal\":{\"name\":\"Geoscience Data Journal\",\"volume\":\"11 1\",\"pages\":\"11-26\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.189\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscience Data Journal\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.189\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.189","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

Macrostrat 是一个用于深时地球科学研究的平台,它将地层柱和地质图整合为地壳的数字描述。该数据库和支持软件可跟踪地壳演变,并为地球科学终端用户提供基于位置的地质信息。Macrostrat 包含多种尺度的绘图和地层数据,从大陆和海盆级摘要到单个四边形和测量剖面。目前,Macrostrat 持有的主要数据包括区域地层柱,其空间足迹主要集中在北美洲。虽然这些数据的规模和分辨率足以让人们深入了解地球的演化过程,但提高分辨率和扩大空间覆盖面将使新一代的科学和解释用途成为可能。Macrostrat下一阶段的发展将增加Macrostrat多尺度数据的细节和复杂性,主要是通过让更多的地球科学家参与输入地层数据。为了支持广泛的合作,我们正在开发基于网络的新软件,用于组合和可视化区域地层序列、完善多个工作年龄模型,以及根据测量的地层剖面编写区域记录。这些工具将使 Macrostrat 能够利用广大地球科学工作者的专业知识,建立一个具有全球意义和多种最终用途的数据集。新功能将为社区贡献的地层数据集的提交、审查、协调和同化流程铺平道路。地质图和柱状图的数字汇编需要大量的工作,而在地质科学界发布这项工作的精心设计的系统将使 Macrostrat 能够建立更具适应性和科学相关性的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Building a multi-scale, collaborative, and time-integrated digital crust: The next stage of the Macrostrat data system

Building a multi-scale, collaborative, and time-integrated digital crust: The next stage of the Macrostrat data system

Building a multi-scale, collaborative, and time-integrated digital crust: The next stage of the Macrostrat data system

Macrostrat is a platform for deep-time geoscientific research that integrates stratigraphic columns and geologic maps into a digital description of the crust. The database and supporting software track crustal evolution and provide location-based geological information to geoscience end users. Macrostrat houses multiple scales of mapping and stratigraphic data, from continent- and basin level summaries to single quadrangles and measured sections. Currently, Macrostrat's primary data holdings consist of regional stratigraphic columns with a spatial footprint weighted heavily to North America. While the data are of sufficient scale and resolution to generate insights about Earth evolution, increasing resolution and expanding spatial coverage will allow a new generation of scientific and interpretive uses. The next phase of Macrostrat's development will increase the detail and complexity of Macrostrat's multiscale data holdings, largely by engaging a wider range of geoscientists in entering stratigraphic data. To support broad collaboration, we are building new web-based software to assemble and visualize regional stratigraphic sequences, refine multiple working age models, and compose regional records from measured stratigraphic sections. These tools will allow Macrostrat to draw on the expertise of a wide range of geoscience workers and grow a dataset with global relevance and a variety of end uses. New capabilities will pave the way to processes for submission, review, coordination, and assimilation of community-contributed stratigraphic datasets. Digital compilation of geological maps and columns requires substantial effort, and well-designed systems for distributing this work in the geoscience community will allow Macrostrat to build more adaptable and scientifically relevant products.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信