Notices
Disclaimer
While every effort has been made to ensure that the data accompanying this
documentation, as well as the documentation itself, are properly represented
given the limitations of the original data and the current state of the
art in data integration, the U.S. Government cannot assume liability for
any damages caused by inaccuracies in the data or documentation, or as
a result of the failure of the data or software to fulfill a particular
purpose. The U.S. Government makes no warranty, expressed or implied, nor
does the fact of distribution constitute a warranty.
Portions of the information in this product have been funded in part
by the U.S. Environmental Protection Agency (EPA) under Interagency Agreement
(DW13934786-01-0) to the National Geophysical Data Center (NOAA).
Trademarks
Mention of a commercial company or product in this document does not imply
endorsement by the U.S. Government, any of its agencies, or any sponsor
or participant of the project for which this product was produced. All
brand or product names are trademarks or registered trademarks of their
respective companies.
"Public Domain" Copyright
All data in the GED and on GED products meets United States federal laws
regarding unrestricted copyright distribution within the "public domain."
This status asserts that all materials may be freely shared and distributed
and that no entity (person, organization, etc.) may claim exclusive rights
of use or profit protection from distribution or sale. This does not, however,
void common practices for appropriate citation or ensure against claims
of false representation of an individual's work. Every effort has been
made in the production of these products to provide complete citation information
and all reference material needed to adequately describe the dataset in
the hopes of preventing accidental, willful, or negligent misuse of data.
The US Government makes no claim and assumes no liability regarding these
data, including their validity or appropriate use.
Responsibility for data content and the research context of the datasets
corresponds with authorship, according to conventional scientific publication
and peer-review standards. Datasets should be treated as reviewed scientific
publications with original content. As such, they should be subjected to
experimental verification and critical review prior to any specific application.
Users should make special note of limitations mentioned in the Dataset
Documentation sections associated with each dataset.