Digitization PEN: Integration of data from the UNH Insect Collection with LepNet.
数字化 PEN:UNH 昆虫采集中心的数据与 LepNet 的集成。
基本信息
- 批准号:2001589
- 负责人:
- 金额:$ 15.73万
- 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:2020-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An award is made University of New Hampshire for the Don Chandler Entomological Collection (UNHC) to establish a Partner to Existing Networks (PEN) collaboration with the Lepidoptera of North America Thematic Collection Network (LepNet TCN). The LepNet TCN unlocks data from North American Lepidoptera holdings across the US that provides a baseline to track changes in species and communities, and to correlate them with climate and other human-related changes in the environment. This PEN will complement the Lepnet TCN by adding underrepresented historic New England moths and butterflies including species from the unique pitch pine / scrub oak ecosystems. The project will increase the number of currently digitized New England species in LepNet by 63 percent and the number of digitized specimens by 40 percent. Data from this project will be made available on the LepNet portal for the research community, government agencies, students, educators, and the general public. Undergraduate students will be trained in all aspects of nature history collection curation. The general public will be engaged through Bioblitz and annual Open Day events at UNHC, which includes yearly tours for visually impaired students. The 700,000 specimens of the historical and taxonomically important holdings of the Don Chandler Entomological Collection (UNHC) have been partially inaccessible to researchers and the general public, and digitization effort will increase research and public access. During this project students and technicians will image and transcribe the label information of 50,000 specimens, generate 35,000 specimen images and create the dorsal and z-stack image sets of the dorsal and ventral sides of 15,000 microlepidoptera specimens using a Macropod imaging system. This project will utilize a new, cell phone-based imaging workflow that increases the speed and accuracy of the digitization of entomological collections. Locality data for 30,000 specimens will also be georeferenced. Undergraduate students will be trained throughout this process and data recorded during this project will be integrated into undergraduate courses at the University of New Hampshire to model changes in distribution of Lepidoptera. The UNHC will display results from the proposed project in 3 public exhibits at the Spaulding Life Science Complex. Data produced by this project will be shared through the LepNet portal, iDigBio.org, and GBIF.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.
新罕布什尔州大学为唐钱德勒昆虫标本馆(UNHC)颁发了一个奖项,以与北美鳞翅目昆虫专题标本馆网络(LepNet TCN)建立现有网络合作伙伴(PEN)。 LepNet TCN解锁了来自美国各地的北美鳞翅目物种的数据,这些数据为跟踪物种和群落的变化提供了基线,并将其与气候和其他与人类有关的环境变化相关联。 该PEN将补充Lepnet TCN,增加代表性不足的历史新英格兰蛾和蝴蝶,包括来自独特的沥青松/灌木橡树生态系统的物种。该项目将使LepNet中目前数字化的新英格兰物种数量增加63%,数字化标本数量增加40%。该项目的数据将在LepNet门户网站上提供给研究界、政府机构、学生、教育工作者和公众。 本科生将在自然历史收藏策展的各个方面进行培训。公众将通过Bioblitz和联合国难民事务高级专员办事处的年度开放日活动参与,其中包括每年为视障学生举办的图尔斯参观活动。唐钱德勒昆虫标本馆(UNHC)拥有70万份具有历史和分类学重要意义的标本,研究人员和公众部分无法访问,数字化工作将增加研究和公众访问。在这个项目中,学生和技术人员将使用Macropod成像系统对50,000个标本的标签信息进行成像和转录,生成35,000个标本图像,并创建15,000个小鳞翅目标本的背侧和腹侧的背侧和z堆栈图像集。该项目将利用一种新的基于手机的成像工作流程,提高昆虫学收藏数字化的速度和准确性。30,000个标本的地点数据也将进行地理参考。本科生将在整个过程中接受培训,在这个项目中记录的数据将被整合到新罕布什尔州大学的本科课程中,以模拟鳞翅目昆虫分布的变化。联合国人类住区中心将在斯波尔丁生命科学中心的3个公开展览中展示拟议项目的成果。该项目产生的数据将通过LepNet门户网站iDigBio.org和GBIF.org共享。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。
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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Istvan Miko其他文献
Efficacy of preoxygenation using tidal volume and deep breathing techniques with and without prior maximal exhalation
- DOI:
10.1007/bf03022030 - 发表时间:
2007-06-01 - 期刊:
- 影响因子:3.300
- 作者:
Usharani Nimmagadda;M. Ramez Salem;Ninos J. Joseph;Istvan Miko - 通讯作者:
Istvan Miko
Istvan Miko的其他文献
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{{ truncateString('Istvan Miko', 18)}}的其他基金
Collaborative Research: Digitization TCN: Extending Anthophila research through image and trait digitization (Big-Bee)
合作研究:数字化 TCN:通过图像和性状数字化扩展 Anthophila 研究(Big-Bee)
- 批准号:
2101891 - 财政年份:2021
- 资助金额:
$ 15.73万 - 项目类别:
Standard Grant
Collaborative Research: Digitization TCN: Digitizing collections to trace parasige-host associations and predict the spread of vector-borne disease
合作研究:数字化 TCN:数字化馆藏以追踪寄生虫-宿主关联并预测媒介传播疾病的传播
- 批准号:
1902016 - 财政年份:2019
- 资助金额:
$ 15.73万 - 项目类别:
Standard Grant
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