Digitization PEN: CryptoVert - Digitizing small-bodied cryptobenthic fishes for the oVertTCN
Digitization PEN: CryptoVert - Digitizing small-bodied cryptobenthic fishes for the oVertTCN
批准号:
2001443
负责人:
William Ludt
金额:
$17.27万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-15 至 2024-08-31
中文摘要
开放脊椎动物专题收集网络(oVert)旨在创建一个横跨脊椎动物生命之树的计算机断层扫描(CT)数字资源。这个数字数据库使研究人员能够快速有效地研究所有脊椎动物群体的形态模式。脊椎动物之间最明显的差异之一是它们的身体大小,一些物种获得较大的身体大小,而另一些物种甚至在成年后仍然非常小。这个合作伙伴现有网络(PEN)奖将连接洛杉矶县自然历史博物馆与oVert创建一个数字存储库的数据集中在一些世界上最小的脊椎动物:隐底鱼类。鱼类约占脊椎动物总多样性的一半,但许多群体仍未得到充分研究。隐底鱼类是生活在各种生境中的小型海洋鱼类,是这些研究不足的群体之一,它们在海洋生态系统中的重要性才刚刚开始被理解。该项目将通过关注未充分研究的脊椎动物群在分类学上补充oVert,并通过开发用于扫描骨骼和软组织解剖的非常小的生物体的最佳实践在方法上补充oVert。除了它们的研究用途,这些扫描将是一个很好的教育资源,将被纳入公共博物馆展览和K-12课堂教学计划。此外,CT扫描的处理将培养本科生在各种专业学科中使用的技能。研究非常小的生物体具有固有的挑战,以前试图描述小型脊椎动物的内部解剖结构只能使用破坏性方法。该项目将重点关注17种不同的鱼类家族,其中包括大多数隐底鱼类,使用传统的CT扫描来记录骨骼系统和对比增强CT扫描来揭示肌肉,神经和循环系统等软组织解剖结构。隐底鱼类填补了各种功能生态系统的角色,与该项目相关的骨骼和软组织扫描将为研究人员创建必要的原始数据,以了解这些微小的鱼类如何以不同的方式适应环境,而不会损坏珍贵的博物馆标本。结合由oVert和oVert合作伙伴完成的CT扫描,该项目的产品也将有助于研究人员确定与身体大小相关的脊椎动物解剖进化的一般趋势,并将成为在各种科学学科中开发新问题和假设的宝贵资源。数据将通过iDigBio.org和MorphoSource.org共享和提供。该奖项反映了NSF的法定使命,并被认为值得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来支持。
英文摘要
The Open Vertebrate thematic collections network (oVert) aims to create a digital resource of computed tomography (CT) scans across the vertebrate Tree of Life. This digital database allows researchers to quickly and efficiently study morphological patterns across all vertebrate groups. One of the most apparent differences among vertebrates is their body size, with some species obtaining large body sizes, while others remain very small even as mature adults. This Partner to Existing Networks (PEN) award will link the Natural History Museum of Los Angeles County with oVert to create a digital repository of data focusing on some of the world’s smallest vertebrates: cryptobenthic fishes. Fishes represent approximately half of the total vertebrate diversity, yet many groups remain understudied. Cryptobenthic fishes, which are small marine fishes that live in a variety of habitats, are one of these understudied groups and their importance in marine ecosystems is only beginning to be understood. This project will complement oVert taxonomically by focusing on an understudied vertebrate group, and methodologically by developing best practices for scanning very small organisms for both bony and soft-tissue anatomy. In addition to their research utility, these scans will be an excellent educational resource that will be incorporated into public museum displays and K-12 classroom lesson plans. Furthermore, processing of CT scans will train undergraduate students in skills that are used in a variety of professional disciplines.Studying very small organisms comes with inherent challenges, and previous attempts to describe the internal anatomy of small vertebrates was only possible using destructive approaches. This project will focus on 17 different fish families that comprise the majority of cryptobenthic fishes using traditional CT scans to document the skeletal system and contrast-enhanced CT scans to reveal soft-tissue anatomy such as muscle, nervous, and circulatory systems. Cryptobenthic fishes fill a variety of functional ecosystem roles, and the bony and soft-tissue scans associated with this project will create the raw data necessary for researchers to understand how these minute fishes have adapted in different ways to their environment without damaging valuable museum specimens. In combination with CT scans completed by oVert and oVert partners, the products of this project will also be useful for researchers to identify general trends in vertebrate anatomical evolution associated with body size and will be a valuable resource for the development of new questions and hypotheses in a variety of scientific disciplines. Data will be shared with and made available through iDigBio.org and MorphoSource.org.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.
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MRI: Acquisition of a µCT Scanner for Research, Digitization and Education at the NHMLA
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批准号:2215184
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项目类别:Standard Grant
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资助金额:$25.85万
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财政年份:2022
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负责人:William Ludt
-
依托单位:
国内基金
海外基金
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