Reported here are the metabarcoding read numbers and biomass data assessed from a fish community in a southern Florida pond in Pinecrest Gardens after invasive species eradication and native restocking in 2017 and 2018 in linear regression models. This dataframe contains the number of fish of each species identified, their measured lengths estimated population surface area, and the number of metabarcoding reads (with SD and COV) for each species observed from the sampling date.

To evaluate the ability of precipitation-based environmental DNA (eDNA) sample collection and mitochondrial 12S metabarcoding sequencing to reconstruct well-studied fish communities in lakes and rivers. Specific objectives were to 1) determine correlations between eDNA species detections and known community composition based on traditional field sampling, 2) compare efficiency of eDNA to detect fish biodiversity among systems with variable morphologies and trophic states, and 3) determine if species habitat preferences predicts eDNA detection. Fish community composition was estimated for seven lakes and two MIssissippi River navigation pools using sequence data from the mitochonrial 12S gene amplified from 10 to 50 water samples per waterbody collected in 50-mL centrifuge tubes at a single time point. Environmental DNA (eDNA) was concentrated without filtration by centrifuging samples to reduce per-sample handling time. Taxonomic detections from eDNA were compared to established community monitoring databases containing up to 40 years of sampling and a detailed habitat/substrate preference matrix to identify patterns of bias. Mitochondrial 12S gene metabarcoding detectec 15-47% of the known species at each waterbody and 30-76% of known genera. Non-metric multidimensional scaling (NMDS) assessment of the community structure indicated that eDNA detected communities grouped in a similar pattern as known communities. Discriminant analysis of principal components indicated that there was a high degree of overlap in habitat/substrate preference of eDNA detected and eDNA undetected species suggesting limited habitat bias for eDNA sampling. Large numbers of small volume samples sequenced at the mitochondrial 12S gene can describe the course community structure of freshwater systems. However, additional traditional sampling and environmental DNA sampling may be necessary for a complete diversity census.

The dataset contains sequencing read counts of fish prey eDNA metabarcoding (using primers targeting the 16S rRNA mitochondrial gene) that were extracted from fecal and cloacal swab samples collected from common loons (Gavia immer) captured on the Whitefish Chain of Lakes, Crow Wing County, Minnesota during 2015-2106. Sample type (cloacal or fecal); loon identification, age, and sex; capture date and location; and prey detections for each sample are provided.

The dataset is composed of two data tables containing information from boat electrofishing surveys of two tributaries to Lake Ontario, Eighteenmile Creek and Oak Orchard Creek during June 2019. The first data table contains fish collection information and the second data table contains information on the sampled reaches.

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.

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.

There are three datasets associated with the manuscript ‘Experience matters: Commercial fishing can reduce biomass of invasive bigheaded carps’. The first dataset represent harvest from the invasive carp harvest program in Kentucky and Tennessee from 2009-2021 only in Lake Barkley and Kentucky Lake where the majority of harvest occurs. The second data are length data from a subset of those fish harvested in 2018-2021. Kentucky Department of Fish and Wildlife Resources and Tennessee Wildlife Resource Agency conduct observations onboard commercial vessels. During these observations total lengths are collected from a subset of that capture which we have used to develop a length-based stock assessment. The last dataset are the results from a survey delivered to fishers participating in the invasive carp harvest program in Kentucky and Tennessee.

Data includes fish abundance and habitat data collected at ten sites in the Sandusky River, OH. Fish were collected using two 3.67 m long hoop nets with an initial hoop diameter of 0.91 m. Nets were set perpendicular to the current, opening toward the shoreline. Nets were set for approximately 24 hours and catch rates for each set were defined as the number of fish caught in the two hoop nets per 24-hour sampling period. Fish were identified to species, measured for total length (mm), and released. Water quality was taken daily at each site at approximately the same time of day with a YSI Exo2 multiparameter sonde. Physical habitat data was recorded at the start of each trial. Vegetation coverage was characterized by type of vegetation and genus (submerged, emerged, or floating) and substrate was also categorized (silt, sand, clay, rock). Physical habitat was recorded as percent and defined as the percentage of the sampling area (e.g. within 50-m of each platform) covered by a feature at the time of data collection. Daily minimum and maximum depths (m) were calculated from data recorded Onset HOBO water level data loggers, which were attached to two of the floating platforms approximately 0.5-m above the substrate. The distance of each site from the confluence of Muddy Creek Bay (m) was estimated from the mid-point of a site using ArcGIS Pro v. 2.7.1. This data was used to assess the fish assemblage in the Sandusky River, focusing on changes in assemblage following the removal of the Ballville Dam in 2018.

This dataset represents results from this study attributed to the NHDPlus catchments. Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman. 2016. A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region. Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.

This dataset represents results from this study attributed to the NHDPlus catchments. Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman. 2016. A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region. Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.