Filters: Tags: Aquatic Biology (X) > Date Range: {"choice":"week"} (X)
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Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along up to four cross-lake transects in central Lake Erie July 2010 through July 2019. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here.
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
aquatic biology,
The data in this release were used to help evaluate and understand the distribution of fish and invertebrates as well as ecological response to streamflow, water temperature, and water chemistry within the Fountain Creek Basin. This data release consists of invertebrate data collected between 1985 and 2022, fish data collected between 2003 and 2022, as well as the data neccesary to recreate the tables and figures in the associated U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sirXXXXXXXX). See Zuellig and others (2022) for sampling methodology and site information.
Categories: Data Release - In Progress;
Tags: Aquatic biology,
Benthic environments,
Colorado,
Community ecology,
Ecology,
The data support a study that surveyed the spatial distribution of Oncorhynchus mykiss and Cottus aleuticus eDNA in coastal streams of Big Sur, California, 2021-2022 following post-fire debris flows. The metadata represent qPCR quantification cycle (Cq) values for O. mykiss and C. aleuticus assays performed on water samples collected during June and July of 2021 and 2022 from the following streams: Big Creek, Mill Creek, Prewitt Creek, and Willow Creek. The metadata also includes the distance (meters) of each eDNA sample site from the stream mouth, volume of water (Liters) collected for eDNA analysis at each site, and the Y-intercept, slope, and R-squared value for each assay run.
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,...
Field observations in a Lake Ontario embayment suggested that there is a phototaxic response of larval cisco that changes with development. This switch was verified using cultured cisco in a laboratory environment. These data include counts of cisco larvae at three depth ranges within multiple 95 liter tanks. Each tank of larvae were exposed to one of three different light treatments with three replicate tanks per treatment. Light treatments were 24 hours per day of light exposure, 24 hours per day in darkness, and a 12-hour light then 12-hour dark exposure cycle. Observations of cisco positioning within the water column were recorded periodically. The information collected included the date and time of the observation,...
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along 8, randomly-selected, 5-kilometer transects and three transects between the US shore and the international border in central Lake Erie in July 2020. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here. These data are related to a longer-term data set from 2010-2019.
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
aquatic biology,
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along 10, randomly-selected, 5-kilometer transects and two cross-basin transects between the US and Canadian shorelines in central Lake Erie during July 2021. Software-generated raw variables were used for calculating estimates of hydroacoustic fish densities presented here in tabular form. These data are related to a longer-term data set from 2010-2019, and a data set from 2020.
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
Harmful algal blooms (HABs) have recently been observed in rivers, including the Illinois River in the Midwest United States. The Illinois River Basin has a history of eutrophication issues, primarily caused by the excessive loading of nitrogen and phosphorus from urban and agricultural sources. Recent events have seen the emergence of cyanobacterial harmful algal blooms in the area. This data release provides early warning indicator (EWI) metrics derived from a continuous chlorophyll concentration dataset obtained from seven water quality monitoring sites along the Illinois River. These metrics include the first-order autoregressive process (Ar1) and the standard deviation (SD) of chlorophyll, which serve as leading...
From 2017-2019, the Upper Midwest Environmental Sciences Center (UMESC) analyzed microcystin concentrations in samples collected from three different studies. The first study was on the movement and distribution of invasive carp (Bighead Carp, Silver Carp, Grass Carp) in the upper Mississippi River between lock and dam 16 and lock and dam 19. Samples were collected from May through October of 2017 and 2018 from backwaters, impounded areas and main channel areas in this reach of the Mississippi River. The second study was a nutrient and metal amendment study performed on natural phytoplankton communities from Lake Erie and Lake Michigan. This was a laboratory study where natural phytoplankton communities were incubated...
Categories: Data;
Tags: Aquatic Biology,
ELISA,
Lake Michigan,
USGS Science Data Catalog (SDC),
Upper Mississippi,
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