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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,
This dataset consists of one table with predator disturbance information from the Common Murre breeding season (June-August) from 2016-2020 on Gull Island, Kachemak Bay, Alaska.
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,...
This data release is composed of seven datasets regarding colonial seabirds and forage fish at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska. These data were collected to detect changes in the breeding population of Black-legged Kittiwakes and Common Murres on two nesting colonies in lower Cook Inlet and to compare those counts to baseline counts from 1995-1999. They are part of an ongoing study in lower Cook Inlet, Alaska to assess the recent status of forage fish and seabirds (2000-2020).
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,
Indiana Dunes National Park is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Indiana Dunes National Park utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in “volumes”. Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments at the volume level include human-...
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),
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