Computerization of Mollusk Collections at the Academy of Natural Sciences of Philadelphia

费城自然科学院软体动物收藏的计算机化

• 批准号: 9616621
• 负责人: Gary Rosenberg
• 金额: $ 5万
• 依托单位: Academy of Natural Sciences Philadelphia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-15 至 1999-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9616621&HistoricalAwards=false
• 关键词: Computerization; Mollusk; Collections; Academy; Natural

9616621 Rosenberg The Recent mollusk collection of the Academy of Natural Sciences of Philadelphia (ANSP) is the oldest mollusk collection in the country, and the second largest catalogued one in the world. It currently has more than 430,000 catalogued lots containing about 12 million specimens. Many of the land and freshwater specimens represent species now threatened, endangered or extinct. To further increase the scientific value of the collection, this project will computerize the label and catalog data of those specimens collected in the United States. Computerization has obvious benefits for scientists studying systematics, evolution and biogeography, but there are also broad benefits for environmental sciences. Computerization of the collections will help in determining changes in the historical distribution patterns of mollusk species. Little such information is currently available, but is needed not only by scientists conducting basic systematic and ecological research on mollusks, but to provide baseline data for monitoring the health of ecosystems. This project is funded by a partnership between the NSF and the Biological Resources Division of the USGS, and will contribute to the Integrated Taxonomic Information System.

9616621 Rosenberg费城自然科学院（ANSP）的最新软体动物收藏是美国最古老的软体动物收藏，也是世界上第二大的编目软体动物收藏。它目前有超过430，000个编目批次，包含约1200万个标本。许多陆地和淡水标本代表了现在受到威胁、濒危或灭绝的物种。为了进一步提高收藏品的科学价值，该项目将计算在美国收集的这些标本的标签和目录数据。计算机化对研究系统学、进化和地理学的科学家有明显的好处，但对环境科学也有广泛的好处。将这些收藏品计算机化将有助于确定软体动物物种历史分布模式的变化。目前几乎没有这类资料，但科学家不仅需要对软体动物进行基本的系统和生态研究，而且需要提供监测生态系统健康的基线数据。 该项目由国家科学基金会和美国地质勘探局生物资源司合作资助，将为综合分类信息系统作出贡献。