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Digitization PEN: The addition of OrthopNet to SCAN

Digitization PEN: The addition of OrthopNet to SCAN
数字化 PEN:在 SCAN 中添加 OrthopNet
批准号:
1600763
负责人:
Jon Gelhaus
金额:
$17.49万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2019-06-30

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中文摘要
翻译
德雷克塞尔大学自然科学院的昆虫收藏馆拥有世界上最重要的蚱蜢收藏之一。该学院建议收集并提供与美国西南部大约54,000个蝗虫标本相关的信息。这些数据将使公众和研究科学家受益,因为它们将有助于了解蝗虫的分布情况,确定害虫物种和科学上的新物种,并有助于了解物种如何对环境变化作出反应。记录地理和相关物种信息的实地笔记本将被扫描并在万维网上提供。这些笔记本的重要性超出了它们所包含的标本信息。它们包括从世纪早期对植被、气候、土地利用、动物群落、土著人民及其生活方式的观察。这些信息可能会为生态学、历史学和人类学等其他学科提供信息。该项目建立了一个合作框架,涉及科学院研究人员,大学生和高中生,包括来自STEM代表不足的群体的个人,对生物多样性科学感兴趣。德雷克塞尔大学自然科学院(ANSP)与节肢动物共生群落网络(SCAN)合作,作为现有网络(PEN)的合作伙伴,建立OrthopNet。OrthopNet项目将从大约54,000份西南部蝗科(蝗虫)标本中获取标本级数据,并将此数据提供给SCAN。这些数据将有助于了解蝗虫的分布,确定害虫物种和科学上的新物种,并为全球生物多样性问题提供信息。 自然科学院是美洲最古老的自然历史博物馆,成立于1812年。该学院的蝗虫收藏是世界上最好和最全面的收藏之一。有针对性的收集是由学院研究人员从20世纪初开始在美国西南部调查蚱蜢而积累的。该学院的档案还包含与这些美国西南部收集探险相关的野外笔记本。这些文件将按照史密森尼图书馆金刚鹦鹉元数据收集协议进行成像,并由生物多样性遗产图书馆在万维网上托管。挖掘这些笔记本以获取更多的地点信息将有助于地理参考标本记录,链接野外笔记和其他标本信息,进一步提高收藏的价值。从野外笔记本中获得的历史信息将为其他学科提供信息,包括生态学,历史学和人类学。还为学院研究人员、大学生和服务不足的高中生提供资金。该项目产生的产品将在http://symbiota4.acis.ufl.edu/scan/portal/上提供。
英文摘要
The insect collection of the Academy of Natural Sciences of Drexel University holds one of the world's most important collections of grasshoppers. The Academy proposes to digitize and make accessible information associated with approximately 54,000 of its grasshopper specimens from the southwestern United States. These data will benefit the general public and research scientists, as they will facilitate the understanding of grasshopper distribution, the identification of pest species and species new to science, and contribute to understanding how species respond to environmental change. Field notebooks documenting geographic and associated species information will be scanned and made available on the World Wide Web. The notebooks are important beyond the specimen information they contain. They include observations from the early 20th century regarding vegetation, climate, land use, animal communities, native peoples and their life styles. This information potentially informs other disciplines including ecology, history and anthropology. This project establishes a collaborative framework involving Academy researchers, college students, and high school students, including individuals from groups under-represented in STEM, with an interest in the biodiversity sciences.The Academy of Natural Sciences of Drexel University (ANSP) has partnered with the Symbiota Collections of Arthropods Network (SCAN) as a Partner to an Existing Network (PEN) to build OrthopNet. The OrthopNet project will capture specimen level data from approximately 54,000 specimens of southwestern Acrididae (grasshoppers) and serve this data to SCAN. These data will aid in understanding grasshopper distributions, identify pest species and species new to science, and inform global biodiversity issues. The Academy of Natural Sciences is the oldest natural history museum in the Americas, founded in 1812. The Academy's Acrididae (grasshopper) collection is one of the best and most comprehensive in the world. The targeted collection was accrued by Academy researchers surveying grasshoppers in the southwestern United States starting in the early 1900s. The Academy's archives also contain field notebooks associated with these southwestern US collecting expeditions. These documents will be imaged following the Smithsonian Libraries Macaw metadata collection protocol, and hosted on the World Wide Web by the Biodiversity Heritage Library. Mining these notebooks for additional locality information will aid in georeferencing specimen records, linking field notes and other specimen information, further enhancing the value of the collection. The historical information obtained from the field notebooks will inform other disciplines including ecology, history and anthropology. Funding for Academy researchers, university students, and underserved high school students is also provided. Products generated from the project will be available at http://symbiota4.acis.ufl.edu/scan/portal/.
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