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Hydroacoustic data from central Lake Erie, 2021

Dates

Publication Date
Start Date
2021-07-05
End Date
2021-07-09

Citation

DuFour, M.R., Keretz, K.R., and Oldham, R.C., 2022, Hydroacoustic data from central Lake Erie, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9S2NFTP.

Summary

Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along 10, randomly-selected, 5-kilometer transects and two cross-basin transects between the US and Canadian shorelines in central Lake Erie during July 2021. Software-generated raw variables were used for calculating estimates of hydroacoustic fish densities presented here in tabular form. These data are related to a longer-term data set from 2010-2019, and a data set from 2020.

Contacts

Point of Contact :
Mark R Dufour
Originator :
Mark R Dufour, Kevin R Keretz, Richard C Oldham
Metadata Contact :
Mark R Dufour
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.

Data_table_20220627.csv
“Data table”
114.91 KB text/csv

Purpose

These data were collected as part of a two-year pilot investigation to compare precision of hydroacoustic density estimates using long, cross-lake transects (existing design, see Kocovsky, P.M., 2020, https://doi.org/10.5066/P9WDAZIP.) compared to shorter, randomly-selected transects (potential new design) for assessing preyfish densities in central Lake Erie (2020 data, see Kocovsky, P.M., 2021, https://doi.org/10.5066/P9YAN7VT.). These data can be used for long-term monitoring of preyfish populations or for statistical analysis of the differences in density estimates and precision of estimates using the two different collection designs.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9S2NFTP

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