| Autor: |
Timothy C. Haas |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
STAR Protocols, Vol 5, Iss 2, Pp 103125- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-1667 |
| DOI: |
10.1016/j.xpro.2024.103125 |
| Popis: |
Summary: The ecosystem management actions taxonomy (EMAT) consists of actions taken by humans and wildlife that affect an ecosystem. Here, I present a protocol for discovering machine-readable entities of the EMAT. I describe steps for acquiring stories from online locations, collecting them into a story file, and processing them through a software package to extract those actions that match EMAT taxa. I then detail procedures for using the story file to learn new EMAT taxa. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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