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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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 geodatabase contains a comparable set of community fish samples from 12 sources, spanning the conterminous United States. The data were compiled through efforts of Michigan State University for the 2010 National Fish Habitat Action Plan (NFHAP) and with support from the U.S. Fish and Wildlife Service (USFWS) and U.S. Geological Survey (USGS) Aquatic GAP Program. All fish sample locations were verified and linked to flowlines of the National Hydrography Dataset Plus Version 1 (NHDPlusV1) using the COMID identifier. Fish records were provided by the following organizations and agencies: USGS, U.S. Environmental Protection Agency (EPA), Connecticut Department of Environmental Protection, Iowa Department of Natural...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2010 National Assessment,
2010 National Assessment,
Abundance (organisms),
Alabama,
Arizona,
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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,...
MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past, federal agency partners have provided the core funding for developing and implementing MARIS as well as broad guidance on the content of the system. In 2014 the U.S. Geological...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Abundance (organisms),
Alabama,
Arkansas,
Biological Data,
Biological sampling,
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
Egg mat retention trials were conducted with walleye (Stizostedion vitreum) and lake whitefish (Coregonus clupeaformis) eggs in an experimental flume tank, seeded directly on egg mats (test retention efficiency) and hand dispersed in flowing flume water to simulate spawning over egg mats (test capture efficiency) with and without alternate substrate. In the field study, we measured number of eggs collected on mats and with bottom drift nets in the Detroit River to compare capture effectiveness. The field collection data describe the number, date of collection, and exact collection location of target species (walleye and lake whitefish). The flume trial data include number of eggs retained or collected, water velocity,...
Categories: Data;
Tags: Aquatic Biology,
Coregonus clupeaformis,
Detroit River,
Ecology,
Maumee River,
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...
MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a "dataset" but rather links specific content of multiple states' datasets. MARIS does not capture all of the information from each state's aquatic dataset only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past, federal agency partners have provided the core funding for developing and implementing MARIS as well as broad guidance on the content of the system. In 2014 the U.S. Geological...
Georgia Department of Natural Resources contributed data to MARIS from the Georgia Wade-able Streams Fish Index of Biotic Integrity Sampling program and from Georgia Standardized Sampling program. For Georgia Wade-able Streams Fish Index of Biotic Integrety Sampling, the Georgia Department of Natural Resources is engaged in a statewide effort to establish a fish index of biotic integrity (IBI) based on the state's five major ecoregions. The IBI consists of 13 metrics, and scoring criteria for the metrics are based on major river basin and watershed area as well as ecoregion. IBI scores are also reported to Georgia's regulatory agency for use in the Clean Water Act 305b/303d listing process. Data provided to MARIS...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Abundance (organisms),
Biological sampling,
Freshwater fishes,
Georgia,
Inland water environments,
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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