Fish count data collected from 300-channel width reaches of Western USA rivers as part of the EMAP-Western Pilot Study.

This data is a compilation of fishery monitoring data collected by state agencies over several decades in tailwaters downriver of dams in Colorado, Utah, Montana, Wyoming, Idaho, New Mexico, Arizona, California, and Oregon. Specifically, the data contained herein is summary data used in four generalized linear mixed models that were developed to assess the biological and hydrologic factors that influence rainbow and brown trout recruitment and adult size in tailwaters across the western United States.

This data is a compilation of fishery monitoring data collected by state agencies over several decades in tailwaters downriver of dams in Colorado, Utah, Montana, Wyoming, Idaho, New Mexico, Arizona, California, and Oregon. Specifically, the data contained herein is summary data used in four generalized linear mixed models that were developed to assess the biological and hydrologic factors that influence rainbow and brown trout recruitment and adult size in tailwaters across the western United States.

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.

The data set includes quantitative fish abundance counts estimated from video data files collected by a Dual-frequency IDentification SONar (DIDSON) placed at the junction of a water control structure located between Pool 2B and Crane Creek (41.62133N, -83.20769W) within Ottawa National Wildlife Refuge (Lucas County, Ohio). One-hour-long video data files were used to estimate fish activity in a restored coastal wetland within Ottawa National Wildlife Refuge in the Western Basin of Lake Erie. Over 800 video hours of fish movement were recorded at the fully open fish passage structure; 136 video data files were chosen at random to represent the full video data file set and are available upon request. Fish counts from the DIDSON video data files using four different methods are provided, comparing two semi-automated and two manual counting methods. Fish tracking software Echoview paired with an "Automod" script from Milne Technologies (Keene, Ontario, Canada) as well as DIDSON viewer software were used to semi-automate the fish counting process and estimate the total number of fish passing through the structure within a video hour. Manual counts were performed by individuals counting fish from video playback given a specific set of criteria to follow for either the full hour of playback or a set of three two-minute intervals. In addition to the count data, calculated values of percent differences are included offering a comparison of the semi-automated and manual count values. Environmental data (turbidity) associated with the time periods captured in the video data files are also included.

The data set includes quantitative fish abundance counts estimated from video data files collected by a Dual-frequency IDentification SONar (DIDSON) placed at the junction of a water control structure located between Pool 2B and Crane Creek (41.62133N, -83.20769W) within Ottawa National Wildlife Refuge (Lucas County, Ohio). One-hour-long video data files were used to estimate fish activity in a restored coastal wetland within Ottawa National Wildlife Refuge in the Western Basin of Lake Erie. Over 800 video hours of fish movement were recorded at the fully open fish passage structure; 136 video data files were chosen at random to represent the full video data file set and are available upon request. Fish counts from the DIDSON video data files using four different methods are provided, comparing two semi-automated and two manual counting methods. Fish tracking software Echoview paired with an "Automod" script from Milne Technologies (Keene, Ontario, Canada) as well as DIDSON viewer software were used to semi-automate the fish counting process and estimate the total number of fish passing through the structure within a video hour. Manual counts were performed by individuals counting fish from video playback given a specific set of criteria to follow for either the full hour of playback or a set of three two-minute intervals. In addition to the count data, calculated values of percent differences are included offering a comparison of the semi-automated and manual count values. Environmental data (turbidity) associated with the time periods captured in the video data files are also included.

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 2024 data to the set for a total of 3 years using the standardized survey design and data processing workflow.

Fish monitoirng in a newly created freshwater tidal wetland on Decker Island. The dataset includes beach seine and electrofishing fish catch and fork length data collected primarily from early spring through the fall. Fyke traps were used a couple of times experimentally. The project was required per conditions in a USACE 404 permit and USFWS and NMFS biological opinions. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000385. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.