These data are the primary data used to model rainbow trout growth in Glen Canyon. Fish growth data were collected from nighttime boat electrofishing field campaigns conducted five to six times per year in April, July, September, and January, from April 2012 through November 2021 for a total of 9798 observations of mark-recapture-based growth. Sampling was conducted in a five km reach in the lower portion of the Glen Canyon tailwater (3.7-8.9 km upstream of Lees Ferry, AZ). Two nights of sampling occurred on each trip, with the central 2-3 km of the reach sampled on both nights. After capture, fish were kept in aerated 40-L buckets and transported to a central processing location. Groups of 10-15 fish were anesthetized and rainbow trout ≥ 75 mm were scanned and injected with a passive integrated transponders (PIT) tag if they had not been previously tagged. Fork length was measured to the nearest mm, and weight was measured to the nearest gram for fish ≥ 150 mm and to the nearest 0.1 g for smaller fish. Provided are tabulated data for fish forklength and weight at capture and recapture as well as estimates of rainbow trout biomass at each trip interval. We evaluated the effects of discharge, water temperature, competition for prey, solar insolation, soluble reactive phosphorus concentration, and the presence of absence of two experimental flows on growth rates of rainbow trout. These seven covariates were selected based on findings from previous modeling efforts and hypotheses regarding how experimental flows affect the rate of prey delivery, metabolic and foraging costs, foraging efficiency, and prey availability. Covariates are compiled as tabulated mean values for each reach and sampling trip and corresponding data sources.

Growth potential of redband trout (Oncorhynchus mykiss newberri) was simulated across 175 river segments in the Donner und Blitzen River basin for water years 1980 through 2021 using a bioenergetics model. A previously published framework for assessing climate vulnerability of redband trout was used to simulate the growth potential of redband trout in relation to constraints on body size, physiological responses linked to variable thermal regimes, and variation in physiological adaptive capacity. For body size, three starting sizes of redband trout, 10 g, 50 g, and 150 g, were used for each day of the simulations. For thermal regimes, daily stream temperatures were estimated from PRISM (Parameter-elevation Regressions on Independent Slopes Model; https://prism.oregonstate.edu/). To account for variation in adaptive capacity, physiological parameters for an average or baseline, cold-adapted and warm adapted individual were used (Benjamin et al. 2023). Growth potential (g/g/day ) for each river segment, body size, and thermal adaptation are provided in the data files provided below.

Growth potential of redband trout (Oncorhynchus mykiss newberri) was simulated across 175 river segments in the Donner und Blitzen River basin for water years 1980 through 2021 using a bioenergetics model. A previously published framework for assessing climate vulnerability of redband trout was used to simulate the growth potential of redband trout in relation to constraints on body size, physiological responses linked to variable thermal regimes, and variation in physiological adaptive capacity. For body size, three starting sizes of redband trout, 10 g, 50 g, and 150 g, were used for each day of the simulations. For thermal regimes, daily stream temperatures were estimated from PRISM (Parameter-elevation Regressions on Independent Slopes Model; https://prism.oregonstate.edu/). To account for variation in adaptive capacity, physiological parameters for an average or baseline, cold-adapted and warm adapted individual were used (Benjamin et al. 2023). Growth potential (g/g/day ) for each river segment, body size, and thermal adaptation are provided in the data files provided below.

These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainbow trout four times per year in April, July, September, and January, from April 2012 through September 2016. A total of five reaches were sampled between Glen Canyon Dam (river kilometer [rkm] 0) to below the confluence with the Little Colorado River (located at rkm 130). Reaches ranged from two to six km in length. A total of 47,056 individual rainbow trout were tagged with passive integrated transponders (PIT) over the first 18 trips across the five study reaches. and 7,733 of these individuals were recaptured one or more trips after they were released. A total of 1,477 individuals (19%) were recaptured more than once (i.e., on two or more trips after release). In total, 9,542 across-trip recaptures with length and weight measurements on release and recapture events were obtained. Very few tagged fish were recaptured in reaches other than the ones they were released in, and these fish were excluded from the analysis. Provided are tabulated data for fish capture (158,324 records), size-stratified abundance estimates by reach and sampling trip, and the upper and lower confidence intervals for total abundance. We evaluated the effects of discharge, water temperature, solar insolation, turbidity-driven reactive distance (feeding efficiency), intraspecific competition, and prey availability on growth rates of rainbow trout. These six covariates were selected based on hypotheses of how they affect the rate of prey delivery, metabolic and foraging costs, foraging efficiency, and prey availability. Covariates are compiled as tabulated mean values for each reach and sampling trip and corresponding data sources.

These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainbow trout four times per year in April, July, September, and January, from April 2012 through September 2016. A total of five reaches were sampled between Glen Canyon Dam (river kilometer [rkm] 0) to below the confluence with the Little Colorado River (located at rkm 130). Reaches ranged from two to six km in length. A total of 47,056 individual rainbow trout were tagged with passive integrated transponders (PIT) over the first 18 trips across the five study reaches. and 7,733 of these individuals were recaptured one or more trips after they were released. A total of 1,477 individuals (19%) were recaptured more than once (i.e., on two or more trips after release). In total, 9,542 across-trip recaptures with length and weight measurements on release and recapture events were obtained. Very few tagged fish were recaptured in reaches other than the ones they were released in, and these fish were excluded from the analysis. Provided are tabulated data for fish capture (158,324 records), size-stratified abundance estimates by reach and sampling trip, and the upper and lower confidence intervals for total abundance. We evaluated the effects of discharge, water temperature, solar insolation, turbidity-driven reactive distance (feeding efficiency), intraspecific competition, and prey availability on growth rates of rainbow trout. These six covariates were selected based on hypotheses of how they affect the rate of prey delivery, metabolic and foraging costs, foraging efficiency, and prey availability. Covariates are compiled as tabulated mean values for each reach and sampling trip and corresponding data sources.

This data release provides model predicted estimates of daily consumption and growth based on established bioenergetics models for multiple lakes and reservoirs throughout the midwest region.. Specifically, the data includes two intermediary variables (processed lake temperature prediction feather files and bioenergetic metrics CSV), model code in R script used to produce the outputs, and bioenergetics model prediction feather files for a set of fish bioenergetics models under current and future temperature conditions at 337 large lakes.

This release includes data used to evaluate the structure and function of the Ross Lake and Diablo Lake food webs. This includes data on zooplankton density and production (zooplankton_density.csv and daphnia_region_production_biomass.csv), lake volume estimates used to expand zooplankton density and production data (lake_volume_estimates.csv), fish sampling (FishSampleEvents.csv), fish biological information including diets, age, and stable isotope analysis (FishFullData_formatted.csv, FishPreyLength.csv), scale back-calculations (salmonid_back_calc.csv, rss_back_calc.csv), fish energy density (calorimetry_processed.csv), stable isotope data for invertebrate end members (si_inverts.csv), and hydroacoustic sampling (ross_ha_densities.csv, diablo_ha_densities.csv). Fish and zooplankton sampling and stable isotope analysis were conducted by the USGS in 2019-2021, and hydroacoustics surveys were conducted in 2021. These data were also combined with fish data (species, size, age) from the National Park Service collected in 2005-2017 to evaluate fish size and age structure across a larger period of time. The bioenergetics model and information on running the model including inputs and outputs from our simulations and a user guide can be found the in FB4.zip folder. Please refer to the associated publications for additional details about data collection and processing.

This dataset contains the results from aging and back-calculation of length-at-age of scale samples from 502 Rainbow Trout captured in the Ashokan Reservoir between 1952 and 2017. The first six columns contain collection information including an assigned fish number, the year and period of capture, the basin of the Ashokan Reservoir from which a fish was captured, and the length and weight of the fish when it was captured. The final three columns present results from the aging and back-calculation procedures. Multiple rows of information often correspond to an individual fish and are designated by the "Fish number" column.

This dataset contains the results from aging and back-calculation of length-at-age of scale samples from 502 Rainbow Trout captured in the Ashokan Reservoir between 1952 and 2017. The first six columns contain collection information including an assigned fish number, the year and period of capture, the basin of the Ashokan Reservoir from which a fish was captured, and the length and weight of the fish when it was captured. The final three columns present results from the aging and back-calculation procedures. Multiple rows of information often correspond to an individual fish and are designated by the "Fish number" column.

Field estimates of the abundance of two trout species (bull trout and westslope cutthroat trout) in Montana and rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.