Filters: Tags: food web (X) > partyWithName: U.S. Geological Survey (X)
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All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
This data set documents the dry mass energy density, distribution, and stomach contents of age-0 chum salmon (Oncorhynchus keta) captured in the Kuskokwim Bay estuary in May and June 2004. The analysis of this data was published in Burrill et al. 2018 (DOI :10.1007/s00300-018-2297-2.).
These data consist of a multi-trophic, day vs. night, nearshore to offshore transect approach for data collection for this Cooperative Science and Monitoring Initiative effort at two northwestern Lake Huron sites near Hammond Bay and Thunder Bay, Michigan. Zooplankton and Mysis samples were collected monthly from April-October while benthos and prey fish samples were collected seasonally during Spring, Summer, and Fall. Invertebrate taxa (zooplankton, Mysis, benthic macroinvertebrates) were identified, enumerated, and measured using a dissecting microscope. Diet items of the prey fish were processed similarly to the other samples in terms of taxonomy. These data were used to calculate densities of fish prey items...
All mensuration data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mensuration Tables contain data collected from the research vessel deploying various gear used for mensuration data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mensuration are: Mensuration.csv, MS_head_rope_depth.csv, MS_FOOT_ROPE_DEPTH, MS_Primary.csv, MS_Temperature.csv, and MS_Wingspread.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time...
The Great Lakes Research Vessel Catch (RVCAT) database is managed at the Great Lakes Science Center (GLSC). RVCAT has been used as the primary data collection tool aboard the GLSC’s research vessel operations across the Great Lakes. Content: The data set has been collected on various vessel operations on all the Great Lakes and select connecting waterways between the years 1930-2021. Data collection begins in early spring and ends in late fall. Each vessel operation was completed for a specific purpose, or target mission. Data Structure: These data are collected at the GLSC in the RVCAT Oracle database. This database has been broken down into comma separated value (csv) spreadsheets in order to facilitate greater...
These data have been collected on various vessel operations on the Great Lakes and select connecting waterways. This vessel operations data set is part of and connected to a larger database of Great Lakes research that includes trawl and gillnet catch data, sample information of fish species caught, as well as effort applied, operation conditions, and location details. The larger database also contains data on hydroacoustics, ichthyoplankton, zooplankton, zebra mussel, and benthos samples collected. Multiple operations were conducted on all Great Lakes each year (1958-2016) beginning in early spring and ending in late fall. Each vessel operation was completed for a specific purpose, or target mission, which are...
This dataset provides baseline concentrations (from 2014) of polycyclic aromatic hydrocarbon (PAH), other aromatic organic compounds, mercury (Hg), and trace metal concentrations in sediment and biota collected from two sites along an existing rail line used for coal transport in the Columbia River Gorge, Washington. For this study, aquatic surface sediments, aquatic insects, and juvenile fish were collected in 2014 from Horsethief Lake in Columbia Hills State Park and Steigerwald Lake National Wildlife Refuge (NWR), both located in close proximity to the rail line and within the Columbia River Gorge National Scenic Area. Samples were collected from two subsites in each area: one closer to the rail line and one...
Categories: Data;
Tags: Aquatic Biology,
Environmental Health,
USGS Science Data Catalog (SDC),
Water Quality,
contamination and pollution,
The Great Lakes Research Vessel Operations data release is taken from the Research Vessel Catch (RVCAT) database curated at the Great Lakes Science Center (GLSC). RVCAT has been used as the primary data collection tool aboard the GLSC’s research vessel operations. Content: The data set has been collected on various vessel operations on all the Great Lakes and select connecting waterways between the years 1958-2018. Data collection begins in early spring and ends in late fall. Each vessel operation was completed for a specific purpose, or target mission, which are enumerated in this data set. In addition to vessel operations data, RVCAT collects trawl and gillnet catch data, sample information of fish species caught,...
All benthos data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and it’s partners. The Benthos Tables contain data collected from the research vessel deploying various gear used for benthos data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Benthos are: Benthos_Comments.csv, Benthos_Ponar.csv, and Benthos_LF Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time of release. Also, a large section of this database includes legacy data that...
All mysis data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mysis Tables contain data collected from the research vessel deploying various gear used for mysis data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mysis are: Mysis_Catch.csv, Mysis_IND.csv, Mysis_OP.csv, and MY_IND Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time of release. Also, a large section of this database includes legacy data that if issues...
All trawl data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Trawl Tables contain data collected from the research vessel deploying various gear used for trawl data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Trawl are: Bucket.csv, Prey_Length.csv, Prey_Total.csv, TR_Annulus.csv, TR_Catch.csv, TR_Fish.csv, TR_L.csv, TR_LF.csv, TR_LMMB_Fish_Prey.csv, TR_LMMB_Invert_Prey.csv, TR_OP.csv, TR_Prey.csv, TR_Sub.csv, sub_prey_total.csv, and sub_prey_length.csv Data Quality: Note that the following data release is a snapshot of the database...
The RVCAT database contains data that have been collected on various vessel operations on the Great Lakes and select connecting waterways. This section of Reference Tables specifically handles repetitive or standardized information that is called upon in the main tables of the RVCAT database. Reference tables are used in database design in order to standardize often used values and to make the data file efficient. All of the terms defined in the reference tables have been determined by the United States Geological Survey, Great Lakes Science Center and it’s partners. Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
These data were compiled for a manuscript that examines the riverine food-web structure of the Colorado River below Glen Canyon dam to its confluence with Lake Mead. Tissue from primary producers (vascular plants and algae) and consumers (aquatic invertebrates and fish) were collected before and after monsoon floods in 2006 along the 388 kilometer segment of the Colorado River in the Southwest US. Tissue samples were dried, ground, and analyzed for δ13C, δ15N, and δ2H stable isotope signatures and percent carbon and nitrogen. Analysis of these data focused on determining the proportion of terrestrial (allochthonous) vs. aquatic (autochthonous) organic matter sources at the base of the food web, trophic diversity...
Types: Citation;
Tags: Arizona,
Coconino County,
Colorado River,
Glen Canyon Dam,
Little Colorado River,
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