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  4. Lake Erie Ecological Investigations 1980-2000
  5. Lake Erie Ecological Investigations 1980-2000: Reference Tables

Lake Erie Ecological Investigations 1980-2000: Reference Tables

Dates

Publication Date
Start Date
1980
End Date
2000

Citation

Smith, S.B., Passino-Reader, D.R., Baumann, P.C., Nelson, S.R., and Hickey, J.T., 2018, Lake Erie Ecological Investigations 1980-2000: U.S. Geological Survey data release, https://doi.org/10.5066/P947B9FI.

Summary

The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.

Contacts

Point of Contact :
Dora R Passino-Reader, Scott R Nelson
Originator :
Stephen B Smith, Dora R Passino-Reader, Paul C Baumann, Scott R Nelson, John T Hickey
Metadata Contact :
Madison L Goforth
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Great Lakes Science Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

leei_reference_metadata.xml
Original FGDC Metadata
View 		164.74 KB application/fgdc+xml
site.csv 880 Bytes text/csv
site_date.csv 451 Bytes text/csv
species.csv 4.58 KB text/csv
QAPP.pdf 123.86 MB application/pdf

Purpose

The data collected as part of the LEEI evaluations have been used to ascertain whether remedial activities and contaminant reductions had been successful for AOCs on Lake Erie. In future work, the techniques established in the LEEI reevaluation can be used to monitor trends in the Lake Erie ecosystem over the long term. The LEEI dataset can serve as a foundational data source, when used in comparison to future data collections, for analyzing the long-term success or not of contaminant reductions and impacts.

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  • Great Lakes Science Center (GLSC)

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