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Great Lakes Research Vessel Catch (RVCAT) Database

Dates

Publication Date
Start Date
1930
End Date
2021

Citation

U.S. Geological Survey, Great Lakes Science Center, 2022, Great Lakes Research Vessel Catch (RVCAT) Database: U.S. Geological Survey data release, https://doi.org/10.5066/P9XVOLR1.

Summary

The Great Lakes Research Vessel Catch (RVCAT) database is managed at the Great Lakes Science Center (GLSC). RVCAT has been used as the primary data collection tool aboard the GLSC’s research vessel operations across the Great Lakes. Content: The data set has been collected on various vessel operations on all the Great Lakes and select connecting waterways between the years 1930-2021. Data collection begins in early spring and ends in late fall. Each vessel operation was completed for a specific purpose, or target mission. Data Structure: These data are collected at the GLSC in the RVCAT Oracle database. This database has been broken down into comma separated value (csv) spreadsheets in order to facilitate greater accessibility. These [...]

Child Items (1)

Contacts

Point of Contact :
Scott R Nelson
Originator :
U.S. Geological Survey, Great Lakes Science Center
Metadata Contact :
Sofia A Dabrowski
Publisher :
U.S. Geological Survey
Distributor :
GS ScienceBase

Attached Files

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Purpose

The Great Lakes Science Center (GLSC) is the basin-wide leader in fisheries science in deepwater habitats. The data represented here were collected and used in connection with numerous research projects, reports to various organizations on Great Lakes' ecosystem health, and for longitudinal data about environmental conditions and species inhabiting the Great Lakes. Long-term data sets such as this have been used to understand how biotic and abiotic factors drive long-term fish community and population dynamics. As a result, the GLSC is well positioned to be a leading contributor to an emerging interdisciplinary approach to understanding Great Lakes food webs. The GLSC continues to develop ecosystem-level models that improve our understanding of food web structure and function, which also allow managers to explore different "what if" management scenarios.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9XVOLR1
USGS_ScienceCenter https://www.sciencebase.gov/vocab/category/item/identifier Great Lakes Science Center
USGS_MissionArea https://www.sciencebase.gov/vocab/category/item/identifier Ecosystems
USGS_keywords https://www.sciencebase.gov/vocab/category/item/identifier Aquatic Biology, Ecology, Environmental Health, Limnology

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