| Abstract Detail
Biodiversity Informatics & Herbarium Digitization Maher, Madeline [1]. A simple software tool for generating print-ready specimen labels. Efficiently generating specimen labels can be challenging for those without access to existing software infrastructure, or for newcomers to the field. Several software tools exist for automatic herbarium specimen label generation, but many are not maintained, have system incompatibility issues, or rely on proprietary software. A Python program was developed to generate formatted, print-ready labels from CSV files. The labels are generated in HTML, and are formatted for print using CSS and the Mustache template system. The program does not rely on any proprietary software, is compatible with all operating systems, and is easily customizable. The minimal nature of the tool makes it easy to use. The tool will be especially useful to students learning to navigate the world of software tools for botanists. As such, it could be a convenient resource for plant taxonomy courses or related courses in which students make collections. Log in to add this item to your schedule
1 - Colorado State University, Biology, 251 W Pitkin Street, Fort Collins, CO, 80521, USA
Keywords: python Mustache HTML CSS specimen label label automation workflow teaching students.
Presentation Type: Poster Session: P, Biodiversity Informatics & Herbarium Digitization Location: Grand Ballroom - Exhibit Hall/Mayo Civic Center Date: Monday, July 23rd, 2018 Time: 5:30 PM This poster will be presented at 6:15 pm. The Poster Session runs from 5:30 pm to 7:00 pm. Posters with odd poster numbers are presented at 5:30 pm, and posters with even poster numbers are presented at 6:15 pm. Number: PBI010 Abstract ID:698 Candidate for Awards:None |