Grassroots Conservation of Biological Diversity in the United States
Date: February 1986
Creator: United States. Congress. Office of Technology Assessment.
Description: This report examines the technological and institutional aspects of biological data relevant to maintaining biological diversity in the United States focusing primarily on Federal data collection efforts.
Contributing Partner: UNT Libraries Government Documents Department
Permallink:digital.library.unt.edu/ark:/67531/metadc39608/
Assessing Biological Diversity in the United States: Data Considerations: Background Paper 2
Date: March 1986
Creator: United States. Congress. Office of Technology Assessment.
Description: A background paper by the Office of Technology Assessment (OTA) that "outlines how data can be used in maintaining biological diversity: describes primarily the Federal institutions that collect biological data; provides an overview of existing Federal biological databases; discusses technical aspects of collecting, storing, and retrieving biological data; and suggests ways to improve biological databases so that they can be better used to help maintain diversity of this Nation's plant and animal life" (Preface).
Contributing Partner: UNT Libraries Government Documents Department
Permallink:digital.library.unt.edu/ark:/67531/metadc39598/
RICHEST - a web server for richness estimation in biological data
Date: February 27, 2009
Creator: Durden, Chris & Dong, Qunfeng
Description: This article discusses RICHEST, a web server for richness estimation in biological data. Richness is defined as the number of distinct species or classes in a sample or population. Although richness estimation is an important practice, it requires mathematical and computational methods that are challenging to understand and implement. The authors have developed a web server, RICHness ESTimator (RICHEST), which implements three non-parametric statistical methods for richness estimation. Its user-friendly web interface allows users to analyze and compare their data conveniently over the web.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc77159/
The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
Date: July 2009
Creator: Best, Jason H.; Neill, Amanda K. & Moen, William E.
Description: This presentation discusses research on high-throughput workflow for computer-assisted human parsing of biological specimen label data. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc81372/