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Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021

These data consist of down-looking images of Lake Michigan benthos, collected in 2020 and 2021 with an autonomous underwater vehicle (AUV). Information about each image (i.e., latitude, longitude, depth from surface, altitude, roll, pitch, yaw, and creation time) can be found in the associated csv file. Substrate type was divided into 9 classes based on the Coastal and Marine Ecological Classification Standard (CMECS) and each image was assigned a substrate class by at least 3 trained labelers.

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Author(s) Joseph K Geisz orcid, Phillipe A Wernette orcid, Peter C Esselman orcid, Jennifer M Morrison orcid
Publication Date 2024-01-08
Beginning Date of Data 2020-08-06
Ending Date of Data 2021-09-15
Data Contact
DOI https://doi.org/10.5066/P9N32CV7
Citation Geisz, J.K., Wernette, P.A., Esselman, P.C., and Morrison, J.M., 2024, Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9N32CV7.
Metadata Contact
Metadata Date 2024-01-08
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-01-09T07:19:27.349Z