Collaborative Research: DigIn - Documenting marine biodiversity through Digitization of Invertebrate collections
合作研究:DigIn - 通过无脊椎动物收藏的数字化记录海洋生物多样性
基本信息
- 批准号:2001249
- 负责人:
- 金额:$ 7.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-11-01 至 2024-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
For two centuries, America has amassed an unparalleled collection of specimens from exploring the world's oceans. They were pulled up with nets, scooped up from seabeds with grabs, and hand-collected by divers, all contributing to a library of biodiversity that captures the state of life in the ocean - year after year, decade after decade. The broadest evolutionary scope of those collections is in the marine invertebrates, animals without backbones - sea stars, corals, worms, jellyfish, crabs, and thousands of other animals. That library of preserved marine invertebrates is our essential guide to the diversity of ocean life across the globe. And because they encapsulate data from the moment they were picked up, these institutional collections also act as a time machine, letting us use the past to understand how our present will become the future. But there is a problem - vast numbers of these specimens are essentially invisible outside of a tiny community of museum specialists. The only record of these specimens' existence is on labels enclosed in the jars with the preserved animals or in paper logbooks on a shelf. These specimens will remain nearly undiscoverable on museum shelves until their core descriptive information is made digitally available. Therefore, this project will create public digital records for over 7.5 million specimens from our nation's legacy of marine exploration, thereby making the immense investment in the specimens' acquisition available to 21st Century biodiversity and ecosystems research. Because these specimens provide a visible and tangible window into our oceans' enchanting biodiversity, this project will involve STEM educators and student educators in the digitization effort, so that they will be able to reflect their science experiences directly back to the classroom. The public will be involved virtually, by contributing transcription of specimen label data. Digitization of alcohol-preserved marine specimens has never been carried out on this scale. A major challenge lies in the location of the data: written, typed, or printed on labels in the jars with the specimens. In many cases, that will require opening the jar, extracting the label, and either transcribing it directly or photographing it for later transcription - for hundreds of thousands of jars. The immediate participants in this program will digitize most or all of the marine invertebrate collections at nineteen institutions across the country, more than doubling the number of digital records for marine invertebrates in the U.S. All data will be publicly available through existing data portals, including iDigBio.org, using standardized data formats, thereby dramatically enhancing the accessibility of biodiversity data for comprehensive, systems-based analysis of ocean ecosystems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
两个世纪以来,美国通过探索世界海洋积累了无与伦比的标本收藏。它们被渔网拉上来,用抓斗从海床上捞起来,由潜水员手工收集,所有这些都有助于建立一个生物多样性图书馆,捕捉海洋中的生命状态-年复一年,十年复一年。最广泛的进化范围是海洋无脊椎动物,没有脊椎的动物-海星,珊瑚,蠕虫,水母,螃蟹和成千上万的其他动物。这个保存完好的海洋无脊椎动物图书馆是我们了解地球仪海洋生物多样性的重要指南。因为它们从被收集的那一刻起就封装了数据,这些机构收集也充当了时间机器,让我们利用过去来理解我们的现在将如何成为未来。但有一个问题--大量的这些标本在博物馆专家的小社区之外基本上是看不见的。这些标本存在的唯一记录是在与保存的动物一起封闭在罐子中的标签上或在架子上的纸质日志中。这些标本在其核心描述信息以数字方式提供之前,几乎无法在博物馆的书架上展出。因此,该项目将为我国海洋勘探遗产中的750多万份标本创建公共数字记录,从而使标本采集方面的巨大投资可用于21世纪世纪生物多样性和生态系统研究。由于这些标本为我们的海洋迷人的生物多样性提供了一个可见和有形的窗口,该项目将让STEM教育工作者和学生教育工作者参与数字化工作,以便他们能够将他们的科学经验直接反映到课堂上。公众将通过贡献样本标签数据的转录来虚拟参与。酒精保存的海洋标本的数字化从未以这种规模进行过。一个主要的挑战在于数据的位置:书写,打字或打印在带有标本的罐子中的标签上。在许多情况下,这将需要打开罐子,提取标签,并直接转录或拍照,以便稍后转录-数十万个罐子。该计划的直接参与者将收集全国19个机构的大部分或所有海洋无脊椎动物收藏品,使美国海洋无脊椎动物的数字记录数量增加一倍以上iDigBio.org。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Paul Larson其他文献
Global Query Processing and Optimization in the CORDS Multidatabase System
CORDS 多数据库系统中的全局查询处理和优化
- DOI:
- 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
Paul Larson;Qiang Zhu - 通讯作者:
Qiang Zhu
Taurus Database: How to be Fast, Available, and Frugal in the Cloud
Taurus 数据库:如何在云中快速、可用且节俭
- DOI:
10.1145/3318464.3386129 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Alex Depoutovitch;Chong Chen;Jin Chen;Paul Larson;Shu Lin;Jack Ng;Wenlin Cui;Qiang Liu;Wei Huang;Yong Xiao;Yongjun He - 通讯作者:
Yongjun He
CASA: Classification-based Adjusted Slot Admission Control for Query Processing Engines
CASA:查询处理引擎的基于分类的调整槽准入控制
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Tim Zeyl;Harshwin Venugopal;Calvin Sun;Paul Larson - 通讯作者:
Paul Larson
Polar forcings and measured extensions
- DOI:
10.1016/j.topol.2022.108290 - 发表时间:
2023-01-01 - 期刊:
- 影响因子:
- 作者:
Paul Larson;Jindřich Zapletal - 通讯作者:
Jindřich Zapletal
Statistical estimation of thevolatility for a stochastic differential equation
随机微分方程波动率的统计估计
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Jorg Brendle;Paul Larson;D. Blazquez-Sanz and K. Yagasaki;内田雅之 - 通讯作者:
内田雅之
Paul Larson的其他文献
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{{ truncateString('Paul Larson', 18)}}的其他基金
Large Cardinals, Small Sets and Absoluteness
大基数、小集合和绝对性
- 批准号:
1764320 - 财政年份:2018
- 资助金额:
$ 7.65万 - 项目类别:
Continuing Grant
Travel Support for a Thematic Program in Strong Logics
强逻辑主题节目的差旅支持
- 批准号:
1607793 - 财政年份:2016
- 资助金额:
$ 7.65万 - 项目类别:
Standard Grant
Conference on the work of W. Hugh Woodin
W. Hugh Woodin 工作会议
- 批准号:
1516781 - 财政年份:2015
- 资助金额:
$ 7.65万 - 项目类别:
Standard Grant
EAPSI: Evolution and Ecology of Brooding Anemones
EAPSI:育雏海葵的进化和生态学
- 批准号:
1015216 - 财政年份:2010
- 资助金额:
$ 7.65万 - 项目类别:
Fellowship Award
NSF NATO POSTDOCTORAL FELLOWSHIOS
NSF 北约博士后研究员
- 批准号:
9804632 - 财政年份:1998
- 资助金额:
$ 7.65万 - 项目类别:
Fellowship Award
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- 批准号:10774081
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- 项目类别:面上项目
相似海外基金
Digitization TCN: Collaborative Research: Documenting marine biodiversity through Digitization of Invertebrate collections (DigIn)
数字化 TCN:合作研究:通过无脊椎动物收藏数字化记录海洋生物多样性 (DigIn)
- 批准号:
2001209 - 财政年份:2020
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$ 7.65万 - 项目类别:
Standard Grant
Digitization TCN: Collaborative Research: Documenting marine biodiversity through Digitization of Invertebrate collections (DigIn)
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2001260 - 财政年份:2020
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$ 7.65万 - 项目类别:
Standard Grant
Digitization TCN: Collaborative Research: Documenting marine biodiversity through Digitization of Invertebrate collections (DigIn)
数字化 TCN:合作研究:通过无脊椎动物收藏数字化记录海洋生物多样性 (DigIn)
- 批准号:
2001286 - 财政年份:2020
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$ 7.65万 - 项目类别:
Standard Grant
Digitization TCN: Collaborative Research: Documenting marine biodiversity through Digitization of Invertebrate collections (DigIn)
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2001508 - 财政年份:2020
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2001246 - 财政年份:2020
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