Filters: Tags: aquaculture (X) > Categories: Data (X)
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Survival and growth of four species of juvenile mussels in a pulsed flow-through auto-feeding beaker system.
Categories: Data;
Tags: Columbia Environmental Research Center,
Freshwater mussels,
Growth,
Survival,
USGS Science Data Catalog (SDC),
A laboratory study was conducted at the Northern Appalachian Research Laboratory (Wellsboro, PA) on the ability to manipulate photoperiod and water temperatures to determine its effects on Eastern elliptio freshwater mussel glochidia production. Brooding mussels were collected from Pine Creek, Tioga County, PA in late December and were housed in the laboratory in groups subjected to one of four environmental treatments: natural temperature and photoperiod, 6 week delay in natural conditions, 12 week delay in natural conditions, and natural temperature and photoperiod with a winter low of 10°C. In this study, "natural" conditions refer to light and temperature conditions that mimic what mussels would have been exposed...
Datasets describe the outcomes of transporting Yellow Perch and Nile Tilapia at high densities under AQUI-S®20E (10% eugenol). Specifically, data describe the survival, morphometric measurements, behavior/sedation, sedative concentrations, and water chemistry for each species during live transport. There are 5 csv files associated with this study
Categories: Data;
Types: Citation;
Tags: USGS Science Data Catalog (SDC),
Upper Midwest Environmental Sciences Center,
aquaculture,
drugs,
fish transport,
This dataset includes data collected to determine the effects of formaldehyde on nitrification processes in biofilters of recirculating aquaculture systems (RAS) from two field trials. Biofilter nitrification was monitored by measuring the levels of total ammonia nitrogen, nitrite, and nitrate in experimental aquaria containing a small biofilter before and after formaldehyde was applied to the test system.
Categories: Data;
Types: Citation;
Tags: Nitrosomonas,
RAS,
USGS Science Data Catalog (SDC),
aquaculture,
nitrification,
Datasets are inputs and outputs of Aquaculture and Irrigation Water Use Model (AIWUM) 2.0. AIWUM 2.0 employs remote sensing data sets and machine learning utilizing Distributed Random Forests, an ensemble machine learning algorithm to estimate annual and monthly groundwater use for irrigation and aquaculture (2014–20) throughout this region at 1 km resolution, using annual pumping data from flowmeters in Mississippi and real-time flowmeters in Arkansas, Louisiana, Mississippi, Missouri, and Tennessee. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and other crops. Model results...
The U.S. Geological Survey (USGS) developed a spatial water-quality model called SPAtially Referenced Regressions On Watershed attributes (SPARROW) to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in the Nation’s streams. The SPARROW model relates in-stream water-quality data to spatially referenced characteristics of watersheds, including contaminant sources and factors influencing terrestrial and aquatic transport. Based on SPARROW modeling, one of the main nutrient sources to streams is point-source facilities such as municipal waste-water treatment plants that discharge directly to streams. This dataset was developed to assist with...
This dataset contains water-use estimates for 2015 that are aggregated to the county level in the United States. The U.S. Geological Survey's (USGS's) National Water Use Science Project is responsible for compiling and disseminating the Nation's water-use data. Working in cooperation with local, State, and Federal agencies, the USGS has published an estimate of water use in the United States every 5 years, beginning in 1950. Water-use estimates aggregated to the State level are presented in USGS Circular 1441, "Estimated Use of Water in the United States in 2015" (Dieter and others, 2018). This dataset contains the county-level water-use data that support the state-level estimates in Dieter and others 2018. This...
Categories: Data,
Data Release - Revised;
Tags: USGS Science Data Catalog (SDC),
United States,
Water Resources,
aquaculture,
aquaculture water use,
To determine how a low cost oxygenation system affected survival of captively reared juvenile suckers, we introduced Passive Integrated Transponder (PIT) tagged juvenile suckers into three net pens in Upper Klamath Lake. The suckers originated from the U.S. Fish and Wildlife Service's Sucker Assisted Rearing Program in Klamath Falls, Oregon which rears suckers collected as larvae in Upper Klamath Lake including Lost River sucker (Deltistes luxatus), shortnose sucker (Chasmistes brevirostris), and Klamath largescale sucker (Catostomus synderi). Suckers were monitored continuously by PIT antennas. These data contain all remote detections from the PIT antennas, all physical captures, and the water quality data associated...
Categories: Data;
Tags: Aquatic Biology,
Lost River suckers,
Net pen fish rearing,
USGS Science Data Catalog (SDC),
Upper Klamath Lake,
Compilation of all outputs from the modeling study presented in Lavaud et al. (2023; IP-156006). In this study a Dynamic Energy Budget (DEB) model for the eastern oyster, Crassostrea virginica, was run under different scenarios of current (2014–2020) and future (2041–2050) temperature and salinity conditions across six key Texas and Louisiana estuaries to derive an aquaculture index, based on survival and time to market size, and a restoration index, based on survival and reproductive output.
Categories: Data;
Tags: Aquaculture,
Bioenergetic modeling,
Dynamic Energy Budget,
Eastern Oyster,
Oyster reef,
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