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Catalog of U.S. Federal Early Detection/Rapid Response Invasive Species Databases and Tools: Version 2.0

June 1, 2020

The dataset catalogs and describes existing online, federally supported databases and tools dealing with various aspects of a potential national early detection and rapid response invasive species framework. Version 1.0 of this dataset (accessible as a download below, called "deprecated_EDDR databases and tools-20190325.zip") is supplementary material 2 and 3 to the manuscript, "Envisioning a national invasive species information framework" published as part of a special open source issue dealing with invasive species early detection and rapid response by the journal Biological Invasions, Volume 22, Issue 1, January 2020. Version 2.0 (accessible as a download below, called "EDDR databases and tools_V2-0_20200429.xlsx") has the following changes: 20 new/edited rows (out of 45) on the Databases sheet; and 13 new/edited rows (out of 50) on the Tools sheet. A user-friendly version of this dataset is also available online as a USGS Library Guide, here: https://usgs.libguides.com/edrrinvasive Disclaimer for Approved Database This database, identified as Catalog of U.S. Federal Early Detection/Rapid Response Invasive Species Databases and Tools, has been approved for release by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the database is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use.

Publication Year 2020
Title Catalog of U.S. Federal Early Detection/Rapid Response Invasive Species Databases and Tools: Version 2.0
DOI 10.5066/P9CNVBYR
Authors Annie Simpson, Jeffrey T. Morisette, Pam Fuller, Jamie Reaser, Gerald Guala
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Science Analytics and Synthesis Program