The Large River Monitoring Forum compiled fish assemblage data for five large rivers in the U.S. as a part of a coordinated effort to compare and contract river monitoring efforts in large river systems. Fish community data from five monitoring programs were integrated to create the standardized dataset. Authors: Timothy D. Counihan1, Ian R. Waite2, Andy Casper3, David Ward4, Jennifer Sauer5, Elise Irwin6, Colin Chapman7, Brian Ickes5, Craig Paukert8, John Kosovich9, and Jennifer M. Bayer10 1- United States Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, 5501A Cook-Underwood Road, Cook, WA 98605; email:tcounihan@usgs.gov; Phone:509-538-2299; Fax:509-538-2843 2- United States Geological Survey, Oregon Water Science Center, 2130 S.W. Fifth Avenue Portland, OR 97201 3- Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader, Havana IL 62644 4- United States Geological Survey, Upper Midwest Environmental Sciences Center 2630 Fanta Reed Road, La Crosse, Wisconsin 54603 5- United States Geological Survey, Grand Canyon Monitoring and Research Center, 2255 North Gemini Drive, Flagstaff, AZ 86001-1637 6- United States Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, School of Forestry and Wildlife Sciences, 602 Duncan Drive, Auburn University, Auburn, AL 36849-5418 7- Oregon Department of Fish and Wildlife, Northwest Regional Office, 17330 SE Evelyn Street, Clackamas, OR 97015 8- United States Geological Survey, Missouri Cooperative Fish and Wildlife Research Unit, Department of Fisheries and Wildlife, 302 Anheuser-Busch Natural Resources Building, University of Missouri, Columbia, MO 65211 9- U.S. Geological Survey, Core Science Analytics, Synthesis, & Libraries, Lakewood, CO 10- United States Geological Survey, Northwest Region & Pacific Northwest Aquatic Monitoring Partnership, 909 1st Ave, 8th Floor Seattle, WA 98104

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.

These data were used to describe temporal trends in fish and invertebrate communities in the Scientific Investigators Report: Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado. This data release consists of invertebrate data collected between 1985 and 2022, fish data collected between 2003 and 2022, and the input and output files from the trend analyses.

Dataset contains sampling information (site, location, and date of sampling) for largemouth bass and silver carp captured in La Grange Pool of the Illinois River during 2015 used to determine the population size structure of both species for analyzing size-specific feeding of largemouth bass on young-of-year and Age-1 silver carp. The dataset also contains information on fish prey items found in largemouth bass stomachs for diet analysis.

Since 2005, the U.S. Geological Survey - Great Lakes Science Center's Lake Erie Biological Station (LEBS) has participated in a collaborative, multiagency effort to assess pelagic prey fish populations in the western (WB), central (CB), and eastern (EB) basins of Lake Erie through a combination of hydroacoustic and midwater trawl sampling. Assessing lake-wide distribution and abundance of pelagic prey species over time facilitates evaluation of large-scale drivers of fish production while also considering food-web dynamics at a smaller sub-basin scale. Information from this survey will support decision making within an ecosystem-based fishery management framework. In support of binational Great Lakes fishery management, the objectives of this survey are to provide density estimates of key pelagic prey species across Lake Erie, to assess spatial distributions of fishes, and annual fluctuations in abundance. A stratified-random sampling approach including 24 strata was carried out during July (Summer), starting in 2022. This data release adds 2023 data to the set for a total of 2 years using the standardized survey design and data processing workflow.