An interactive data entry, querying, and editing system based on a generic conceptual schema for taxonomic databases. It combines the automated use of scientific names and synonyms in a species checklist with online access to geographical data and common knowledge data (morphological descriptors, genomics, ecology, vernacular names, economic uses, structured notes and conservation status) about the species. All these data can be cross-indexed to a citation list. The design and standard permits rapid customization to suit any taxonomic group.

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Acacia

Acacia Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free

Additional Project Details

Intended Audience

Science/Research

User Interface

Web-based

Programming Language

JavaScript, PHP

Database Environment

MySQL

Related Categories

PHP Bio-Informatics Software, PHP Database Management Systems (DBMS), JavaScript Bio-Informatics Software, JavaScript Database Management Systems (DBMS)

Registered

2013-08-12