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。

• 批准号: 2001589
• 负责人: Istvan Miko
• 金额: $ 15.73万
• 依托单位: University of New Hampshire
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2001589&HistoricalAwards=false
• 关键词: Digitization; PEN; Integration; data; UNH

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.

奖项是新罕布什尔大学的唐·钱德勒昆虫学系列（UNHC），以与北美主题收集网络（Lepnet TCN）的现有网络（PEN）合作建立合作伙伴。 Lepnet TCN解锁了美国北美鳞翅目持有的数据，该数据提供了跟踪物种和社区变化的基线，并将它们与环境中的气候和其他与人类有关的变化相关。 这支笔通过添加代表性不足的新英格兰飞蛾和蝴蝶（包括独特的沥青 /磨砂橡树生态系统中的物种）来补充Lepnet TCN。该项目将使Lepnet中当前数字化的新英格兰物种的数量增加63％，并将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，用于研究社区，政府机构，学生，教育工作者和公众。 本科生将接受自然历史收集策划的各个方面的培训。公众将通过Bioblitz和Humc的年度开放日活动参与，其中包括每年的视觉障碍学生旅行。 Don Chandler昆虫学收集（UNHC）的历史和分类学重要持有的700,000个标本已被研究人员和公众所部分无法访问，数字化工作将增加研究和公众的访问。在这个项目中，学生和技术人员将图像和抄录50,000个标本的标签信息，生成35,000个标本图像，并使用巨型脚轮标本的背侧和腹侧的背面和Z-stack图像集，并使用巨型脚轮标本。该项目将利用一种新的，基于手机的成像工作流程，以提高昆虫收集数字化的速度和准确性。 30,000个标本的局部数据也将被授予。本科生将在整个过程中接受培训，并且该项目期间记录的数据将集成到新罕布什尔大学的本科课程中，以模拟鳞翅目分布的变化。联合国人民委员会将在Spaulding Life Science综合体的3个公开展览中展示拟议项目的结果。该项目生产的数据将通过Lepnet Portal，Idigbio.org和Gbif.org共享。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。