five

National Institute of Invasive Species Science (NIISS) database

收藏
NIAID Data Ecosystem2026-05-17 收录
下载链接:
https://figshare.com/articles/dataset/National_Institute_of_Invasive_Species_Science_NIISS_database/24661326
下载链接
链接失效反馈
官方服务:
资源简介:
The National Institute of Invasive Species Science (NIISS) is a consortium of government and non-government organizations formed to develop cooperative approaches for invasive species science that meet the urgent needs of land managers and the public. Field data on aquatic and terrestrial species and diseases can be collected in any form and uploaded in three formats: Palm programs (EcoNab and WIMS), GIS Shapefile, and tab-delimited text file. Users map their fields to NIISS database fields. The Global Organism Detection and Monitoring System captures information (location data, species characteristics, and environmental attributes) on all taxa of invasive species - terrestrial and aquatic plants, animals, and diseases - to detect, control, and monitor their spread. These datasets are integrated into the database and displayed as "living maps" of harmful invaders on the Web to serve land managers, landowners, researchers, government officials, and the public. Users can query or download the database by species, project, or location; organism locations can be exported via the map as tab-delimited or comma-separated value (csv) text files, and ESRI shapefiles. Real-time statistics are being developed for datasets and links to other research. Also available are species profiles, watch lists, and species lists for any selected area. Resources in this dataset: Resource Title: NIISS Browse / Search / Query. File Name: Web Page, url: http://www.pikapartners.org/cwis438/Browse/BrowseData.php?WebSiteID=1 Query / search / browse the NIISS database for data by organization, location (e.g. within politically defined locales such as states, counties, national parks, or wildlife refuges), organism, project (e.g. for data contributed by project members and managed by project managers), or by selecting a map region.
创建时间:
2017-12-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作