Total and methyl mercury, moisture, and porosity in Lake Michigan surficial sediment

Metadata Updated: February 13, 2019

Total and methyl mercury, moisture content (%), and porosity were measured in Lake Michigan sediment by the U.S. Environmental Protection Agency/Office of Research and Development/National Health and Environmental Effects Research Laboratory/Mid-Continent Ecology Division/Large Lakes Research Station, Grosse Ile, MI. Both core and Ponar grab samples were collected. The samples were collected from 1994 through 1996. These mercury data were used in the LM2-Mercury model.

This dataset is associated with the following publication: Zhang, X., K. Rygwelski , M. Rowe, R. Rossmann, and R. Kreis. Global and regional contributions to total mercury concentrations in Lake Michigan water. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 62-69, (2016).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://dx.doi.org/10.1016/j.jglr.2015.10.010

Dates

Metadata Created Date August 4, 2016
Metadata Updated Date February 13, 2019

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date August 4, 2016
Metadata Updated Date February 13, 2019
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier A-kps6-25
Maintainer
Kenneth Rygwelski
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id e299f15f-2a96-4715-b7cc-07d6b14e90f7
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2009-11-05
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://dx.doi.org/10.1016/j.jglr.2015.10.010
Source Datajson Identifier True
Source Hash baf2566400c03ce59518b9c8f17692c967bfa0a6
Source Schema Version 1.1

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